706 Empregos para Data Quality - Brasil

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart, and accessible. Our technology and innovation, partnerships, and networks combine to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential.

Title and Summary

Manager, Data Quality

The Data Quality team within the Data Quality & Sources team in the AI and Data Office is responsible for developing and driving Mastercard’s data quality program. This team ensures that Mastercard governs the data and tooling that powers products and services across Mastercard. We innovate to increase the value of Mastercard’s data assets, protect the integrity of the Mastercard network, and ensure we continue to adapt to changes in the ecosystem, enabling new forms of payment, new players in the ecosystem, and expanding collection and use of data to support new lines of business.

The Enterprise Data Quality & Sources team is responsible for ensuring data is of the highest quality and is fit-for-purpose to support business and analytic uses. The team works to identify and prioritize opportunities for data quality improvement, develop strategic mitigation plans, and coordinate remediation activities with technical teams and product team business owners. It also drives the creation of curated merchant data to improve the quality and availability of data for the organization.

Role

As a Manager, Data Quality, you will:

• Manage a team of data stewards to ensure the highest quality of Mastercard data possible for products and services.
• Assist less-senior data quality resources with reviewing and resolving complex data quality issues.
• Identify and prioritize new data assets to provide new data types, coverage, and better data quality for end users.
• Manage support of data quality dashboards and development.
• Evaluate and make business cases for AI and other new technologies to assist in merchant data improvements, where applicable.
• Provide subject matter expertise on data to support product team requirements and onboarding to enterprise assets.
• Participate in the design of future data quality platforms and processes collaborating with technical teams.
• Prioritize data quality resources to support business activities that align with the organization’s strategic initiatives.
• Engage technical and business partners and leadership (internal and external) to remediate issues found.

All About You

• People management experience, experience with B2B and B2C data governance and stewardship processes preferred.
• Passion for research (automated and human-based) and eagerness to understand and form complex merchant business relationships.
• Strong interpersonal and communication skills with proven experience in relationship building and partnering.
• Command of Spanish, English, and Portuguese preferred.
• Hands-on experience supporting multi-faceted technology projects.
• Strong understanding of Mastercard platforms and applications and related business processes.
• Strong understanding of emerging technologies including but not limited to, cloud architecture, master data management tools (Reltio, Informatica, etc.), machine learning/AI, and Big Data infrastructure.
• Strong analytic capabilities and experience using technologies such as SQL, Hadoop/Spark, and business intelligence tools (PowerBI/Tableau/etc.).
• Motivated self-starter with the ability to excel at multi-tasking and solving problems in a fast-paced environment.

#AI2

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization, and therefore, it is expected that every person working for or on behalf of Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach; and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Overview

We are looking for a skilled Data Quality Engineer to join our driven team, collaborating on data ingestion processes and enabling the effective utilization of high-quality data across the company. In this role, you will contribute to an innovative supply-chain data analytics platform that leverages artificial intelligence to transform supply-chain insights and deliver domain-specific recommendations.

• Define, implement, and maintain tooling and processes for data quality management from scratch
• Build and enforce data quality validations within ETL pipelines
• Set up monitoring dashboards and alerts to ensure continuous data quality tracking
• Collaborate with cross-functional teams to ingest, profile, and standardize data from multiple external sources
• Leverage SQL and Python to analyze and enhance data quality metrics
• Utilize AWS services, such as reading from S3, for data profiling and validation tasks
• Partner with clients to identify and resolve data quality issues, ensuring effective communication and delivery of solutions
• Work effectively amidst ambiguity and in a fast-paced startup environment to execute tasks independently
• Foster transparency and proactivity within the team and with stakeholders

• Strong experience spanning over 2 years as a Data Quality Engineer or in similar roles, with a proven ability to establish processes and tools
• Showcase of implementing data quality checks in ETL pipelines and creating interactive dashboards and alerts
• Proficiency in SQL and Python for data quality tasks
• Familiarity with AWS services, with a focus on data profiling and reading data from S3
• Background in client-facing roles, demonstrating excellent communication skills and proactivity
• Capability to independently execute tasks and maintain productivity without constant direction
• Flexibility to adapt to a fast-paced startup environment with transparent and collaborative workflows
• English level B1+ for effective communication

• Hands-on experience working with Databricks and PySpark
• Familiarity with multiple data quality monitoring frameworks or tools such as Great Expectations, SODA, Lightup

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

#Conhecimentos importantes para a posição:

• Graduação em Comunicação, Jornalismo, Relações Públicas, Ciências Sociais, Administração ou áreas correlatas.
• Experiência prévia em monitoramento de mídia, análise de clipping ou funções similares (Media Analyst / Press Monitoring Analyst é benchmark desejado).
• Atenção a detalhes, rigor analítico e capacidade de trabalhar com alto volume de informações.
• Boa capacidade de organização, priorização de tarefas e gestão de prazos.
• Habilidade de comunicação escrita e interpretação de conteúdos jornalísticos.
• Domínio de ferramentas de monitoramento de mídia e Excel/Google Sheets.

#Diferencial para a posição:

• Experiência em empresas de PR, agências de comunicação ou consultorias de dados.
• Conhecimento em métricas de reputação, exposição na mídia e indicadores de performance de comunicação.
• Inglês intermediário.

Modelo de Trabalho: De acordo com a política da área com escala de plantão bimestrais.

#Desafios que você vai encontrar:

• Realizar a curadoria dos conteúdos contratados (clippings, matérias, menções em mídia etc.) assegurando precisão, relevância e consistência.
• Garantir a qualidade e padronização dos dados entregues, com foco em personalização e aderência às regras definidas.
• Executar input de termos nos agentes de clipping e classificação buscando melhoria da assertividade constantes
• Manter alinhamento com a equipe de Customer Success e Suporte para priorização de demandas e entendimento das necessidades específicas de cada cliente.
• Acompanhar prazos de entrega e SLAs, assegurando agilidade e confiabilidade.
• Contribuir para o desenvolvimento e aprimoramento contínuo de processos de Data Quality.

A Foursys é um time apaixonado por inovação, design e transformação digital.

Somos globais, somos GPTW.

️ Na Foursys, celebramos a diversidade e acreditamos que são as diferentes ideias e perspectivas que nos enriquecem. Portanto, sua cor, religião, gênero, raça, nacionalidade, idade, origem, identidade de gênero, deficiência ou orientação sexual não são barreiras para se juntar à nossa equipe. #VemSerFoursys!

Todas as nossas vagas estão abertas para Pessoas com Deficiência (PCD). Caso você se enquadre ou conheça alguém com o perfil, a Foursys é a empresa ideal!

Que tal se juntar a nós e se tornar um(a) #FourTalent? Então se liga nessa oportunidade incrível:

Responsabilidades e atribuições

Profissional responsável por garantir a qualidade, consistência e rastreabilidade dos dados utilizados nos processos de transformação (ETL/ELT), com foco em documentação funcional clara e testabilidade robusta. Atuará como ponte entre a área funcional e o time técnico, elaborando especificações e validando a correta implementação dos pipelines e regras de negócio, com foco em dados que alimentam modelos de score e variáveis preditoras.

Elaborar documentação funcional clara, rastreável e estruturada sobre regras de transformação, mapeamento de variáveis, critérios de negócio e definições de qualidade. Traduzir a documentação funcional para o time técnico (engenheiros e desenvolvedores de dados), garantindo o alinhamento entre o que foi definido e o que será implementado.

Criar cenários de testes robustos para validar pipelines de transformação de dados (ETL/ELT), com testes de consistência, regressão e integridade. Conduzir validações comparativas pré e pós ETL, assegurando que os dados transformados reflitam corretamente as regras definidas, identificando, isolando e documentando desvios ou anomalias nos dados.

Verificar completude, consistência, unicidade e coerência temporal dos dados. Realizar testes com dados sintéticos e reais, cobrindo diferentes comportamentos e exceções.

Atuar junto a áreas como Analytics para entender os requisitos e transformá-los em validações tangíveis. Auxiliar na interpretação de regras de negócio aplicadas aos dados e garantir aderência à lógica esperada.

Habilidades e Requisitos

SQL avançado e domínio de ferramentas de análise de dados (BigQuery).

Experiência com linguagens de manipulação de dados (Python desejável, mas não obrigatório). Familiaridade com ferramentas de versionamento e orquestração de dados (Git, Airflow, DBT – diferencial).

Experiência com processos de homologação de pipelines e dados em ambientes produtivos.

Inglês avançado desejável, mas não obrigatório.

Formato de trabalho: Híbrido 1x na semana em Alphaville

E temos também o Clube da Four que oferece ótimas vantagens!

Join to apply for the DATA QUALITY ANALYST (REMOTE) role at iTRecruiter

Empresa portuguesa contrata para trabalho remoto

Localização: 100% Remoto

Requisitos de Idioma: Português fluente

Tempo de experiência: 5+ anos com análise de dados

Instruções: Por favor, envie seu currículo, incluindo todas as habilidades e experiências relevantes para aumentar suas chances de sucesso.

Você é uma pessoa analítica, detalhista e gosta de trabalhar com dados? Temos uma oportunidade como Data Quality Analyst em um projeto no Setor Público, totalmente remoto!

• Monitorar processos batch de diferentes projetos, analisando os logs gerados.
• Investigar causas de falhas ou erros, corrigindo ou reprocessando dados quando necessário.
• Atuar como ponte de comunicação com as equipes de projeto para resolução eficiente de problemas.
• Trabalhar com extração e análise de dados em SQL (Oracle) e criar relatórios em Excel.

• 5+ anos de experiência com Análise de Dados
• Sólida vivência em análise de logs e processamento batch
• Domínio de SQL, especialmente em ambiente Oracle
• Excel avançado para construção de relatórios estruturados
• Perfil analítico, crítico e atento a padrões e inconsistências

• Profissional com experiência intermediária/sênior (mínimo 5 anos)
• Capacidade de atuar de forma autônoma e focada na resolução de problemas
• Boa comunicação para interação com diferentes times

• Data Support
• Log Analysis
• SQL
• Batch Analysis
• Excel

Suporte em ambiente produtivo (on-job support)

100% Remoto – Projeto baseado em Portugal

Overview

We are seeking a remote Senior Data Quality Engineer to work closely with our Data Platform Architect and Data Architect and lead the implementation of data quality on our platform, ensuring data is accurate, complete, and consistent. The ideal candidate will have advanced experience in software development with Big Data technologies and a solid understanding of distributed computing principles.

• Design and implement data quality processes and frameworks
• Work with product and engineering teams to ensure data is accurate, complete, and consistent
• Collaborate with architects and technical leads to drive decisions
• Actively participate in code reviews and ensure solutions meet best practice specifications
• Foster a high-performance engineering culture and mentor team members

• 3+ years of experience in data quality engineering
• Advanced experience in software development with Big Data technologies
• Knowledge of Java, Python, SQL, Apache Spark, Apache Kafka
• Solid cloud experience with more than one leading Cloud provider (AWS/Azure/GCP)
• Analytical approach to problem-solving
• Strong understanding of compliance awareness such as GDPR and HIPAA

• Excellent organizational and communicational skills

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

• Mid-Senior level

• Full-time

• Information Technology, Engineering, and Research

• Software Development, IT Services and IT Consulting, and Technology, Information and Internet

Overview

We are seeking a remote Senior Data Quality Engineer to work closely with our Data Platform Architect and Data Architect and lead the implementation of data quality on our platform, ensuring data is accurate, complete, and consistent. The ideal candidate will have advanced experience in software development with Big Data technologies and a solid understanding of distributed computing principles.

• Design and implement data quality processes and frameworks
• Work with product and engineering teams to ensure data is accurate, complete, and consistent
• Collaborate with architects and technical leads to drive decisions
• Actively participate in code reviews and ensure solutions meet best practice specifications
• Foster a high-performance engineering culture and mentor team members

• 3+ years of experience in data quality engineering
• Advanced experience in software development with Big Data technologies
• Knowledge of Java, Python, SQL, Apache Spark, Apache Kafka
• Solid cloud experience with more than one leading Cloud provider (AWS/Azure/GCP)
• Analytical approach to problem-solving
• Strong understanding of compliance awareness such as GDPR and HIPAA

• Excellent organizational and communicational skills

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

• Mid-Senior level

• Full-time

• Information Technology, Engineering, and Research

• Software Development, IT Services and IT Consulting, and Technology, Information and Internet

Overview

We are seeking a remote Senior Data Quality Engineer to work closely with our Data Platform Architect and Data Architect and lead the implementation of data quality on our platform, ensuring data is accurate, complete, and consistent. The ideal candidate will have advanced experience in software development with Big Data technologies and a solid understanding of distributed computing principles.

• Design and implement data quality processes and frameworks
• Work with product and engineering teams to ensure data is accurate, complete, and consistent
• Collaborate with architects and technical leads to drive decisions
• Actively participate in code reviews and ensure solutions meet best practice specifications
• Foster a high-performance engineering culture and mentor team members

• 3+ years of experience in data quality engineering
• Advanced experience in software development with Big Data technologies
• Knowledge of Java, Python, SQL, Apache Spark, Apache Kafka
• Solid cloud experience with more than one leading Cloud provider (AWS/Azure/GCP)
• Analytical approach to problem-solving
• Strong understanding of compliance awareness such as GDPR and HIPAA

• Excellent organizational and communicational skills

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

• Mid-Senior level

• Full-time

• Information Technology, Engineering, and Research

• Software Development, IT Services and IT Consulting, and Technology, Information and Internet