12.889 Empregos para Hadoop - Brasil
Hadoop Engineer
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Resumo da Função:
Na ExxonMobil, nossa visão é liderar em inovações energéticas que promovam a vida moderna e um futuro líquido zero. Como uma das maiores empresas de energia e química de capital aberto do mundo, somos impulsionados por uma força de trabalho única e diversificada, movida pelo orgulho do que fazemos e do que defendemos. O sucesso de nossos negócios Upstream, downstream, midstream, Soluções de Produtos e Soluções de Baixo Carbono é o resultado do talento, curiosidade e motivação de nossos funcionários. Eles trazem soluções todos os dias para otimizar nossa estratégia em energia, produtos químicos, lubrificantes e tecnologias de baixa emissão.
Com isso, junte-se à equipe para resolver alguns dos problemas de energia mais difíceis em termos de enorme escala e complexidade de análises de big data na ExxonMobil.
Desenvolver e dar suporte a pipelines de dados/feeds ETL/aplicativos, como leitura de dados de fontes externas, mesclagem de dados, transformação de dados, execução de enriquecimento de dados e carregamento em destinos de dados alvo, permitindo casos de uso de análise.
Trabalhar com projetos e equipes técnicas para fornecer suporte técnico e experiência em desenvolvimento para pipeline de dados geral, fluxos de trabalho Hadoop Spark, soluções de big data e implementar modelos de dados em um portfólio diversificado.
Principais funções do trabalho:
- Projetar, desenvolver e manter pipelines de processamento de dados escaláveis usando Hadoop e Spark.
- Implementar integração de dados e processos ETL para ingerir e transformar grandes conjuntos de dados.
- Colaborar com cientistas de dados, analistas, parceiros de negócios e outras partes interessadas para entender os requisitos de dados e fornecer soluções.
- Otimizar e ajustar trabalhos Hadoop e Spark para desempenho e eficiência.
- Gerenciar e manter soluções de armazenamento de dados, garantindo integridade e segurança dos dados.
- Utilizar o GitHub para controle de versão e colaboração no desenvolvimento de código.
- Trabalhar com CDP (Cloudera Data Platform) para gerenciar e implantar aplicativos de dados.
- Integrar e gerenciar soluções de dados no Cloud Azure e Snowflake, garantindo fluxo de dados e acessibilidade contínuos.
- Monitorar e solucionar problemas de fluxos de trabalho de processamento de dados, resolvendo problemas prontamente.
- Manter-se atualizado com as últimas tendências e tecnologias do setor em big data e computação em nuvem.
- Explorar e desenvolver habilidades em tecnologias mais recentes de acordo com o roteiro de tecnologia de big data.
- Integrar e gerenciar soluções de dados no Cloud Azure e na infraestrutura local, garantindo fluxo de dados e acessibilidade ininterruptos.
Requisitos da vaga:
- Graduação mínima de bacharelado em Ciência da Computação ou equivalente em universidade reconhecida; GPA mínimo - 6,5 (de 10,0).
- 5 a 8 anos de experiência geral em TI, com pelo menos 3 anos de experiência trabalhando com Hadoop
. Habilidades técnicas:
- Tecnologias de Big Data: Experiência comprovada com Apache Spark e o ecossistema Hadoop.
- Linguagens de programação: Fortes habilidades de codificação e programação em Scala, Java e/ou Python.
- Experiência aplicada com Hive, Iceberg e Hbase.
- Experiência aplicada com Solr.
- Experiência com Apache Kafka e Spark Streaming ou Apache Flink.
- Experiência com Oozie e bom ter airflow.
• Familiaridade com Azure DevOps (bom ter, mas não obrigatório).
•
Familiaridade com SQL (bom ter).
•
Familiaridade com Git/GitHub.
- Experiência em sistemas UNIX ou semelhantes a UNIX.
- Experiência com SCRUM ou outra estrutura Agile semelhante.
Habilidades secundárias:
- Bom ter conhecimento de NIFI.
- Bom ter experiência em nuvem como Azure e AWS.
- Familiaridade com GitHub e GitHub Action.
- Experiência com SCRUM ou outra estrutura Agile semelhante
- Autodidata e colaborador individual.
- Fortes habilidades de resolução de problemas.
- Capaz de criar documentação técnica para os casos de uso.
- Bom ter habilidades de modelagem de dados.
- Bom ter conhecimento do domínio de energia (petróleo e gás).
Habilidades interpessoais
- Boas habilidades de comunicação verbal e escrita.
- Autoiniciador e trabalhador independente.
- Fortes habilidades analíticas e de resolução de problemas.
- Capacidade de trabalhar com parceiros de negócios e partes interessadas e desenvolver fluxos de trabalho contínuos.
- Capacidade de interagir com clientes, parceiros de tecnologia, grupos de teste, arquitetura e análise
Hadoop engineer -big data
Publicado há 2 dias atrás
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Descrição Do Trabalho
Resumo da Função:
Na ExxonMobil, nossa visão é liderar em inovações energéticas que promovam a vida moderna e um futuro líquido zero. Como uma das maiores empresas de energia e química de capital aberto do mundo, somos impulsionados por uma força de trabalho única e diversificada, movida pelo orgulho do que fazemos e do que defendemos. O sucesso de nossos negócios Upstream, downstream, midstream, Soluções de Produtos e Soluções de Baixo Carbono é o resultado do talento, curiosidade e motivação de nossos funcionários. Eles trazem soluções todos os dias para otimizar nossa estratégia em energia, produtos químicos, lubrificantes e tecnologias de baixa emissão.
Com isso, junte-se à equipe para resolver alguns dos problemas de energia mais difíceis em termos de enorme escala e complexidade de análises de big data na ExxonMobil.
Desenvolver e dar suporte a pipelines de dados/feeds ETL/aplicativos, como leitura de dados de fontes externas, mesclagem de dados, transformação de dados, execução de enriquecimento de dados e carregamento em destinos de dados alvo, permitindo casos de uso de análise.
Trabalhar com projetos e equipes técnicas para fornecer suporte técnico e experiência em desenvolvimento para pipeline de dados geral, fluxos de trabalho Hadoop Spark, soluções de big data e implementar modelos de dados em um portfólio diversificado.
Principais funções do trabalho:
Projetar, desenvolver e manter pipelines de processamento de dados escaláveis usando Hadoop e Spark.
Implementar integração de dados e processos ETL para ingerir e transformar grandes conjuntos de dados.
Colaborar com cientistas de dados, analistas, parceiros de negócios e outras partes interessadas para entender os requisitos de dados e fornecer soluções.
Otimizar e ajustar trabalhos Hadoop e Spark para desempenho e eficiência.
Gerenciar e manter soluções de armazenamento de dados, garantindo integridade e segurança dos dados.
Utilizar o GitHub para controle de versão e colaboração no desenvolvimento de código.
Trabalhar com CDP (Cloudera Data Platform) para gerenciar e implantar aplicativos de dados.
Integrar e gerenciar soluções de dados no Cloud Azure e Snowflake, garantindo fluxo de dados e acessibilidade contínuos.
Monitorar e solucionar problemas de fluxos de trabalho de processamento de dados, resolvendo problemas prontamente.
Manter-se atualizado com as últimas tendências e tecnologias do setor em big data e computação em nuvem.
Explorar e desenvolver habilidades em tecnologias mais recentes de acordo com o roteiro de tecnologia de big data.
Integrar e gerenciar soluções de dados no Cloud Azure e na infraestrutura local, garantindo fluxo de dados e acessibilidade ininterruptos.
Requisitos da vaga:
Graduação mínima de bacharelado em Ciência da Computação ou equivalente em universidade reconhecida; GPA mínimo - 6,5 (de 10,0).
5 a 8 anos de experiência geral em TI, com pelo menos 3 anos de experiência trabalhando com Hadoop
. Habilidades técnicas:
Tecnologias de Big Data: Experiência comprovada com Apache Spark e o ecossistema Hadoop.
Linguagens de programação: Fortes habilidades de codificação e programação em Scala, Java e/ou Python.
Experiência aplicada com Hive, Iceberg e Hbase.
Experiência aplicada com Solr.
Experiência com Apache Kafka e Spark Streaming ou Apache Flink.
Experiência com Oozie e bom ter airflow.
Familiaridade com Azure DevOps (bom ter, mas não obrigatório).
Familiaridade com SQL (bom ter).
Familiaridade com Git/GitHub.
Experiência em sistemas UNIX ou semelhantes a UNIX.
Experiência com SCRUM ou outra estrutura Agile semelhante.
Inglês avançado
Habilidades secundárias:
Bom ter conhecimento de NIFI.
Bom ter experiência em nuvem como Azure e AWS.
Familiaridade com GitHub e GitHub Action.
Experiência com SCRUM ou outra estrutura Agile semelhante
Autodidata e colaborador individual.
Fortes habilidades de resolução de problemas.
Capaz de criar documentação técnica para os casos de uso.
Bom ter habilidades de modelagem de dados.
Bom ter conhecimento do domínio de energia (petróleo e gás).
Habilidades interpessoais
Boas habilidades de comunicação verbal e escrita.
Autoiniciador e trabalhador independente.
Fortes habilidades analíticas e de resolução de problemas.
Capacidade de trabalhar com parceiros de negócios e partes interessadas e desenvolver fluxos de trabalho contínuos.
Capacidade de interagir com clientes, parceiros de tecnologia, grupos de teste, arquitetura e análise
Java Developer with Data Lake and Hadoop
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This a Full Time position is on-site in Itaim Bibi, São Paulo
working with US clients.
We offer:
- Salary Depending on experience
- Vale Refeição / Alimentação R$ 992,00
- Plano de Saúde Bradesco ( Descontos Sujeito a Alteração)
- Plano Odontológico Bradesco
- Seguro de Vida
- Auxílio Creche
Job Summary:
We are looking for an experienced
Data Lake Engineer
to design, build, and maintain data lake solutions. The role focuses on
Java development, Hadoop ecosystem technologies, and big data processing
, supporting large-scale data platforms.
Required Qualifications:
- 6–9 years of experience in software development with a strong focus on
Java
. - Hands-on experience with
Hadoop, HDFS, Spark, or other big data technologies
. - Knowledge of
data lake architecture and best practices
. - Familiarity with SQL and RDBMS systems is a plus.
- Strong problem-solving, debugging, and analytical skills.
- Good communication and collaboration skills.
Data Processing Specialist
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Data Processing Specialist
Job Type: Full-time, Freelancer Position
Location: Remote - Brazil - Work from home
*** Resumes must be submitted in English ***
We are seeking a detail-oriented and process-driven professional to join our team as a
Data Processing Specialist
Mindglobal, listed in Gartner's 2021 Market Guide, offers corporate TEM (Telecom Expense Management) solutions for Fortune 500 enterprises around the world.
We are growing and adding new members to our financial team
What you'll do:
- Retrieve and download invoices and raw data from service providers.
- Review and validate invoices and raw data.
- Upload and output reports using in-house databases.
- Work with service providers to resolve missing or insufficient data by phone, email, or web-based portals.
- Process data using Excel.
- Enter data using in-house software.
- Organize invoice and data stored location.
- Process bill payment on behalf of clients.
Who you are:
- A detail-oriented problem solver able to create and follow processes.
- Adaptable and self-motivated, consistently meeting deadlines.
- Strong organizational skills.
- Able to multi-task and juggle a large volume of tasks.
- Proficient in English.
- Graduated with a Bachelor's degree (preferred but not mandatory).
What we offer:
- Career Growth – We prioritize internal promotions.
- Remote Flexibility – Work from home in Brazil.
- Company Culture – A collaborative and supportive team environment.
Job Type: Full-time, Contract position
This is a freelancer position. Benefits (such as healthcare, paid time off or 13th month pay) are not provided. You will be an independent direct contractor ("freelancer") with Mindglobal and paid hourly for time worked. You will be scheduled to work 40 hours per week and as a contractor can choose your time off and holidays. If desired, you can be paid in US Dollars.
Compensation & Hours:
Pay: $1,000 USD per month
Hours: Monday – Friday, 6am – 3pm (Austin, TX, Central Time)
Horário de trabalho:
- Turno de 8 horas
Idioma:
- English (Obrigatório)
Software Engineer Golang in Distributed Data Processing
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Software Engineer Golang in Distributed Data Processing - Bank Technology Platform
LATAM
Welcome to 10Pearls
We believe in harnessing the power of technology for social good through our core values: Innovate, modernize and accelerate.
Company Overview
We are 10Pearls, an award-winning digital development company, helping businesses with product design, development, and technology acceleration. We have a culture of innovation, uniquely designed to help companies transform, digitalize and scale by levering digital technology.
Position Overview
We're seeking a talented Software Engineer to join our team developing high transaction volume and distributed platform components for our enterprise SaaS platform. You'll work alongside brilliant engineers building scalable, secure, and AI-powered financial technology solutions that serve small- to medium-sized banks and credit unions clients at scale. This role offers the unique opportunity to dive deep into complex distributed systems while being obsessed with AI and agentic technologies that are transforming how we build software.
What Makes This Role Exceptional
Cutting-Edge Technology Stack
- Work with the latest AI development agents that will revolutionize how you write code
- Build complex distributed systems that handle millions of banking transactions that is integrated with our Databricks analytics platform and Data Mesh.
- Contribute to enterprise-grade platform components from day one
- Access to bleeding-edge AI/ML tools and automation platforms
Meaningful Impact
- Your code will power financial services for community banks and credit unions by processing millions of transactions each day.
- Build technology that democratizes banking infrastructure for smaller institutions and enable them to compete with the largest banks
- Work on systems that directly impact people's financial wellness
- Contribute to platform components that scale to serve 100K+ users
AI-First Development Culture
- We're obsessed with AI agents and expect you to be too
- Use tools like Cursor, Gemini and Claude Code as core parts of your daily workflow
- Implement agentic systems that automate monitoring, healing, scaling, and incident response
- Be part of an organization that's pioneering AI-powered software development across the board
Technical Responsibilities:
Platform Development
- Design and implement secure, scalable bank technology platform components
- Build multi-tenant architecture with bank-grade data isolation and security
- Develop just-in-time and batch data processing capabilities
- Contribute to 99.9%+ uptime systems with disaster recovery and failover mechanisms
AI-Powered Development
- Integrate AI agents into development workflows for automated code generation, code quality, governance, test automation, and deployment
- Build intelligent platform features and agentic systems for automated operations
- Drive adoption of AI-powered development tools and share knowledge with the team
- Experiment with LLM integration, prompt engineering, and AI system design
Entreprise SaaS Excellence
- Build platform components that serve millions of transactions with sub-second latency, at the lowest cost infrastructure costs possible
- Implement enterprise-grade security, audit trails, and compliance features
- Design APIs and integrations for large-scale enterprise client deployments
- Optimize platform performance for high-volume, mission-critical banking operations
Collaboration & Innovation
- Work closely with architecture group on technical decisions for bank-grade platform components
- Collaborate with cloud services team to develop platform with Design-to-manage focus
- Participate in technical design reviews and contribute innovative solutions
- Share knowledge and learn from experts in distributed systems, data intensive applications, and AI integration
Technical Stack:
AI & Automation Technologies
- AI Development Agents
(Cursor, Claude Code, Devin, Code Rabbit, etc.) - Core daily tools - Agentic Frameworks
for automated workflows and intelligent systems - Automation Platforms
(GitHub Actions, Azure DevOps, Argo) - LLM Integration
and prompt engineering for platform capabilities
Enterprise Platform Stack
- Backend
: Go (Golang) for high-performance, secure API services - Database
: PostgreSQL with advanced security, scalability, performance tuning - Cloud Native
: Azure with enterprise-grade security and scalability - Containerization
: AKS, Docker and Kubernetes for multi-tenant deployment - Monitoring
: Comprehensive observability and security monitoring
Banking & Financial Technology
- Security Standards
: PCI DSS, SOC 2, bank-grade encryption - Real-time Processing
: High-throughput transaction processing - API Gateway
: Enterprise API management and security - Data Privacy
: Advanced data protection and audit trails
Required Qualifications:
Technical Experience
- 5+ years
of full-stack development experience with proven track record in enterprise environments - Enterprise SaaS experience
building and scaling platforms serving 100K+ users - Financial services or banking technology
experience with complex transaction processing systems - Remote work experience
with distributed engineering teams and collaborative development
Technical Expertise
- Go (Golang)
-
REQUIRED
years with enterprise-grade API development supplemented with 3+ years of Java/Spring development. - PostgreSQL
- Expert level database design, optimization, performance optimization and security practices in data intensive environments - Azure Cloud
- Enterprise deployment, security, and compliance experience - Distributed Systems
- Experience with complex, data-intensive applications and systems-to-systems integrations
AI & Automation Obsession
- Demonstrated passion
for AI development agents and agentic technologies - Hands-on experience
with AI-powered development tools (Cursor, Claude Code, etc.) - Track record
of implementing automation that measurably improves development productivity - Understanding
of LLM integration, prompt engineering, and AI system design - Vision
for how AI can transform software development and platform capabilities
Enterprise SaaS Requirements
- Multi-tenant architecture
development and implementation at enterprise scale - Enterprise security
standards and compliance frameworks experience - High-availability systems
with focus on scalability, reliability, and cost optimization - API design
for enterprise integrations and third-party platforms - Performance optimization
for high-volume, complex low-latency applications and batch based compute.
What We Offer:
Technolgoy Leadership
- Work with the most advanced AI development agents available today
- Access to cutting-edge AI/ML tools and platforms before they become mainstream
- Budget for conferences, training, and technology exploration
- Opportunity to contribute to open source AI development tools
Professional Growth
- Learn from senior engineers and architects with deep distributed systems expertise
- Contribute to technical architecture decisions and platform strategy
- Mentorship opportunities with AI Automation Engineers and platform architects
- Clear path for career advancement in a rapidly growing organization
Remote-First Culture
- Fully remote position with global flexibility
- Strong remote collaboration tools and practices
- Annual/quarterly team gatherings and offsites with brilliant engineers
Meaningful Work
- Build technology that empowers community banks and credit unions
- Work on systems that directly impact financial inclusion and community development
- Contribute to democratizing banking technology for smaller financial institutions
- Be part of a mission-driven company transforming financial services
Application Requirements:
Required Portfolio
- GitHub/GitLab portfolio
showcasing Go projects at enterprise scale - AI/Automation projects
- examples of AI agent integration or automation implementations - Enterprise SaaS experience
- examples of scalable platform development - FinTech or banking
industry experience with complex transaction processing systems and systems-to-systems integrations
Technical Assessment
- Coding interview
focusing on distributed systems and complex problem-solving - AI integration discussion
about agentic technologies and automation experience - System design discussion
about enterprise platform architecture and optimization - Code review
of personal projects demonstrating enterprise-quality engineering
Bonus Qualifications
- Open source contributions
to AI development tools or enterprise platforms - Technical writing
or blogging about AI, automation, or distributed systems - Conference speaking
about enterprise SaaS or banking technology - Startup or scale-up experience
building platforms from early stages
Ready to Build the Future of Banking Technology?
If you're obsessed with AI, passionate about automation, and ready to build the next generation of enterprise banking platform components, we want to hear from you. Join a team of exceptional engineers creating technology that will power the future of financial services for community banks and credit unions.
This role offers the rare opportunity to combine cutting-edge AI technology, complex distributed systems, and meaningful social impact in a remote-first environment.
Why This Roile Is Different:
- AI-First
: We don't just use AI tools - we're building the future of AI-powered development - Impact
: Your code directly helps community banks compete with big tech - Growth
: Learn from some of the brightest minds in distributed systems and AI - Innovation
: Work with technologies that are 2-3 years ahead of the industry
Ready to push the boundaries of what's possible in financial technology?
Sales Data Analysis
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About Us
Keeta, the international subsidiary of Meituan—the global delivery giant—is on a mission to revolutionize food and consumer product delivery worldwide. With our core belief: "We help people eat better, live better," we're taking innovation to the global stage
Job Responsibilities:
Responsible for sales of the whole process of data monitoring, analysis, insight into business growth points, and can timely locate and early warning of business problems and risk points, to provide strategic direction and improve the proposal; construction of data reports, to promote the construction of business data products, to enhance the operational efficiency of the sales and operations team;
Focus on special analysis: based on analysis results derived from data, collaborate with internal and external resources to promote key projects and drive sales. Continuously review and iterate to improve the results.
In-depth understanding of the sales business, continue to follow up on business actions, establish a multi-dimensional business strategy diagnosis system, discover and locate the current business problems, and provide support for business decision-making.
What You'll Do:
Two or more years of relevant experience in business analysis and sales data analysis. Experience in a head internet analyst position is preferred.
Excellent logical thinking ability, able to perform structured analysis and dismantling of the problem, with the ability and habit of independent thinking and discernment;
Good command of commonly used data analysis tools, with solid basic skills in mathematical statistics;
Excellent communication and collaboration skills.
What Make This Role Exciting:
A startup team with plenty of opportunities to participate in core projects for rapid growth.
Experiencing different countries, languages, and cultures.
Sales data analysis
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Sobre o mais recente Hadoop Empregos em Brasil !
Data Analysis Test Engineer
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Do you enjoy working with a successful engineering and data analysis team?
Are you looking for an opportunity to grow your career in a global energy company?
Join our team
Our Oilfield Equipment business provides intelligent, connected technologies to monitor and control our energy extraction assets. We provide customers with the peace of mind needed to reliably and efficiently improve their operations.
Partner with the best:
As a
Data Analysis Engineer
, you will report to the Qualification Manager and will be responsible for standardizing and optimizing the analysis of data from qualification tests of flexible pipes used in the oil & gas industry. The professional will be responsible for performing testing analysis and qualification activities, ensuring that the best flexible pipe system solutions are developed and validated to meet project requirements.
As a
Data Analysis Engineer
, you will be responsible for:
- Standardize, analyze and optimize the analysis of data generated from qualification tests.
- Perform analysis of test results and evaluate their impact on product qualification.
- Interface with the methodology team to support in the calibration methodologies and predictive models.
- Generate technical documents such as test plans, design basis, design premises, qualification plan, qualification report etc. within the NPI project scope.
- Ensure proper documentation of technical data generated for projects and/or assigned tasks in accordance with engineering policies and procedures.
- Interface with multidisciplinary group (qualification, methodology, analysis teams etc) to meet technical requirements and schedule within the NPI project scope (internal and external groups - clients and suppliers).
- Participate in meetings with clients to present and discuss the work performed.
- Make technical decisions based on appropriate knowledge and experience.
- Monitor and communicate activities status and significant developments within the NPI project scope.
- Assure that the work is being carried out in accordance with the company's polices of compliance, HSE and security, reporting any non-conformity, accident, incident or any potential risk situation to any collaborator or the company.
Fuel your passion
To be successful in this role you will:
- Bachelor's degree in Engineering (Mechanical, Chemical, Materials), Physics, Chemistry, or a related field.
- Strong experience in data analysis and interpretation of test results.
- Proficiency in Python, VBA, and programming for data processing and automation.
- Experience with Power BI or similar data visualization tools.
- Experience in Testing and Qualification.
- Knowledge in design tools.
- English proficient is required.
Desired Characteristics
- Experience in the oil & gas industry, particularly with flexible pipe systems.
- Strong ability to structure, organize, and standardize engineering processes and continuous improvement.
- Proven analytical ability and attention to detail in handling technical data.
- Strong oral and written communication skills.
- Effective interpersonal and leadership capabilities.
- Ability to lead initiatives with moderate scope and impact.
- Skilled in coordinating multiple projects simultaneously.
- Strong problem-solving skills with a proactive approach to identifying and resolving issues.
- Comfortable working in multidisciplinary and multicultural environments.
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we offer the following working patterns:
- Working from MON-FRI
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
The Good Stuff
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:
- Contemporary work-life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
About Us
With operations in over 120 countries, we provide better solutions for our customers and richer opportunities for our people. As a leading partner to the energy industry, we're committed to achieving net-zero carbon emissions by 2050 and we're always looking for the right people to help us get there. People who are as passionate as we are about making energy safer, cleaner and more efficient.
Location:
Retic (Fundão/RJ)
Join Us
Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
About Us:
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.
Join Us:
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you Let's come together and take energy forward.
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
R
Sales Data Analysis (SMB)
Publicado há 4 dias atrás
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About Us
Keeta, the international subsidiary of Meituan—the global delivery giant—is on a mission to revolutionize food and consumer product delivery worldwide. With our core belief: "We help people eat better, live better," we're taking innovation to the global stage!
Job Responsibilities:
1. Responsible for sales of the whole process of data monitoring, analysis, insight into business growth points, and can timely locate and early warning of business problems and risk points, to provide strategic direction and improve the proposal; construction of data reports, to promote the construction of business data products, to enhance the operational efficiency of the sales and operations team;
2. Focus on special analysis: based on analysis results derived from data, collaborate with internal and external resources to promote key projects and drive sales. Continuously review and iterate to improve the results.
3. In-depth understanding of the sales business, continue to follow up on business actions, establish a multi-dimensional business strategy diagnosis system, discover and locate the current business problems, and provide support for business decision-making.
What You'll Do:
1. Two or more years of relevant experience in business analysis and sales data analysis. Experience in a head internet analyst position is preferred.
2. Excellent logical thinking ability, able to perform structured analysis and dismantling of the problem, with the ability and habit of independent thinking and discernment;
3. Good command of commonly used data analysis tools, with solid basic skills in mathematical statistics;
4. Excellent communication and collaboration skills.
What Make This Role Exciting:
1. A startup team with plenty of opportunities to participate in core projects for rapid growth.
2. Experiencing different countries, languages, and cultures.
Senior Lead, Data Analysis
Ontem
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Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories.
In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.
Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data – ensuring it is primed for analysis, business intelligence, and insightful visualizations.
Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights.
Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.
At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.
If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you're open and borderless – naturally inclusive in how you work with others.
Required Skills and Experience
Hands-on experience in data analysis, business intelligence, or analytics consulting
Proven ability to translate business needs into analytical use cases and technical requirements
Proficiency in SQL, Python or R for data analysis, including data wrangling, statistical modeling, and visualization
Strong experience with Analytics and Business Intelligence platforms such as Microsoft Power BI (Fabric), Workday PRISM, One Model, or similar tools
Solid understanding of data modeling, ETL processes, and data governance
Demonstrated ability to independently conduct data exploration, build dashboards, and present insights to both technical and non-technical audiences
Excellent communication and storytelling skills, with the ability to engage stakeholders and influence decision-making
Experience working in agile, cross-functional teams and collaborating with developers, data scientists, and business leaders
Enthusiasm for working in a fast-paced, global environment with a diverse and collaborative team
Bachelor's in Data Science, Statistics, Computer Science, Business Analytics, or a related field
Advanced English proficiency required to collaborate with global teams
Preferred Skills and Experience
Experience in workforce analytics, HR data, or professional services
Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty or Microsoft Certified: Power BI Data Analyst Associate
Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
Data Science, experience with predictive analytics and machine learning models
Being You
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.