Design, build, and optimize scalable data pipelines with PySpark
Develop data models; centralized data lake and data warehouse
Implement efficient data transformations; optimize for performance
Create analytics data solutions: SQL, AWS Athena views, Iceberg, QuickSight dashboards
Collaborate with cross-functional teams; monitor data workflows and quality

🎯 Requirements

Strong hands-on Apache Spark, PySpark, and AWS Glue
Designing AWS-based data architectures (S3, Athena, data warehouses)
Python and SQL expertise for large datasets
ETL/ELT pipelines, data lakes, and event-driven architectures
Agile environment experience; BI/Reporting with QuickSight

🎁 Benefits

100% remote work
USD pay; competitive
Paid time off
Work with autonomy
Work with top American Companies

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