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

🎯 Requirements

Hands-on Apache Spark, PySpark, and AWS Glue experience.
AWS-based data architectures (S3, Athena, data warehouses) design.
Advanced Python and SQL for large datasets.
ETL/ELT pipelines, data lakes, and event-driven architectures.
Agile collaboration and BI/Reporting with QuickSight.

🎁 Benefits

100% Remote Work: work from anywhere.
Highly Competitive USD Pay.
Paid Time Off.
Autonomy: manage your time and deliver results.
Work with Top American Companies.
Diverse, Global Network.

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