Design, build, and optimize scalable PySpark data pipelines.
Develop and maintain data models for lake and warehouse integration.
Implement data transformations; optimize for scale and reliability.
Create analytics data solutions: SQL transforms, Athena views, Iceberg, QuickSight.
Collaborate with cross-functional teams to ensure data quality.

🎯 Requirements

Hands-on Apache Spark, PySpark, and AWS Glue for distributed pipelines.
Designing and maintaining AWS data architectures (S3, Athena, warehouses).
Python and SQL proficiency for large-scale data processing.
ETL/ELT, data lakes, and event-driven data workflows.
Collaboration and problem-solving in Agile, BI with QuickSight.

🎁 Benefits

100% Remote Work: laptop and internet connection provided.
Competitive USD pay.
Paid time off.
Autonomy to manage your time and outcomes.
Culture that values you and supports work-life balance.
Diverse, global network across 25+ countries.

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