Senior Data Engineer, People Analytics

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and maintain data pipelines for the ingestion, storage, and processing of substantial data volumes within Microsoft Fabric.

• Enhance and evolve ETL/ELT solutions and integrations across various People systems and sources, reinforcing existing implementations.

• Create and implement data quality and observability strategies within the Fabric ecosystem to ensure the accuracy and reliability of People metrics.

• Scale OneLake by establishing layer standards, naming conventions, and a data strategy that supports growth and ongoing maintenance.

• Oversee the data lifecycle, guaranteeing integrity, traceability, and accessibility for consumption through Power BI, reports, and APIs.

• Enforce governance and security/LGPD practices, including RBAC, auditing, anonymization/masking, and special handling for sensitive data.

• Optimize performance and scalability to ensure sustainable deliveries.

• Serve as a Senior individual contributor with direct management responsibilities, elevating team standards and engaging in innovation and area-building initiatives.

⛳️ Requirements

• Proficient in writing optimized SQL queries to address a diverse array of challenges.

• Practical experience with the Microsoft Fabric ecosystem, including OneLake, Lakehouse/Warehouse, Data Factory, Spark, and notebooks (Python/PySpark), as well as shortcuts.

• Development experience in data-oriented programming languages, particularly Python and PySpark.

• Familiarity with distributed processing and parallelism, especially with Spark.

• Experienced with version control and development workflows using Git (GitHub), including PRs, code reviews, and collaboration best practices.

• Knowledge of software engineering best practices such as documentation, testing/validation, coding standards, automation, and maintainability.

• Background in data architecture and modeling (e.g., Lakehouse, Data Warehouse, Data Mart) and in creating datasets for analytical use.

• Ability to collaborate in a team environment with a sense of ownership, proactivity, and a problem-solving mindset.

• Responsible and mature in handling confidential or sensitive data (LGPD), including confidentiality and access controls.

• Skilled in prioritizing tasks in uncertain situations and managing multiple workstreams with organization and clarity.

🏝️ Benefits

• 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 covers 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 offers access to coworking spaces throughout 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 in a relaxed work environment.