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ASAAS

Senior Data Engineer, People Analytics

ASAAS

Senior Data Engineer for People Analytics at a Brazilian fintech. Focus on building and scaling data platforms and ensuring data governance.

Posted 5/4/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
ETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, implement, and maintain data pipelines for ingesting, storing, and processing large volumes of data in Microsoft Fabric
  • Implement and evolve ETL/ELT solutions and integrations across multiple People systems/sources, strengthening existing implementations
  • Develop and apply data quality and observability strategies within the Fabric ecosystem, ensuring accuracy and reliability of People metrics
  • Scale OneLake by defining layer standards, naming conventions, and a data strategy to support growth and maintenance
  • Manage the data lifecycle, ensuring integrity, traceability, and accessibility for consumption via Power BI, reports, and APIs
  • Implement and reinforce governance and security/LGPD practices, including RBAC, auditing, anonymization/masking, and special handling for sensitive data
  • Optimize performance and scalability, ensuring sustainable deliveries
  • Act as a Senior individual contributor with direct management responsibilities, raising team standards and participating in innovation and area-building initiatives

Requirements

What you’ll need
  • Ability to write optimized SQL queries to solve a variety of problems
  • Hands-on experience with the Microsoft Fabric ecosystem, including OneLake, Lakehouse/Warehouse, Data Factory, Spark, and notebooks (Python/PySpark), shortcuts
  • Development experience with data-oriented languages, especially Python and PySpark
  • Experience with distributed processing/parallelism, especially Spark
  • Experience with version control and development workflows in Git (GitHub), including PRs, code reviews, and collaboration best practices
  • Familiarity with software engineering best practices: documentation, testing/validation, coding standards, automation, and maintainability
  • Experience with data architecture and modeling (e.g., Lakehouse, Data Warehouse, Data Mart) and creating datasets for analytical consumption
  • Ability to work in a team with ownership, proactivity, and a problem-solving focus
  • Responsibility and maturity to work with confidential/sensitive data (LGPD), including confidentiality and access controls
  • Ability to prioritize in uncertain scenarios and manage multiple workstreams with organization and clarity

Benefits

Comp & perks
  • Health & well-being: fully covered medical and dental plans (no co-pay), life insurance, assistance for purchasing medications, and support for physical activity expenses
  • Food & family: flexible meal benefit provided via a Visa-branded card
  • Education & growth: in-house training platform and an education allowance that subsidizes 70% of tuition for degrees and language courses, as well as purchases of courses and books
  • Remote work support: home office allowance, work equipment, furniture allowance, and a partnership with WOBA that provides access to coworking spaces across Brazil
  • Extras: birthday day off, Happy Hour allowance, referral bonus for new hires, performance-based annual bonuses, a Stock Option plan, and a casual dress code and relaxed work environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPythonPySparkETLELTdata architecturedata modelingdata qualitydata governanceperformance optimization
Soft Skills
problem-solvingownershipproactivityorganizationclarityteam collaborationresponsibilitymaturitycommunicationinnovation