Why This Role Stands Out
This Sr. Data Engineer role offers incredible opportunities to build and optimize scalable cloud data solutions on AWS, leveraging cutting-edge technologies like Spark, Kafka, and Docker, all while working in a flexible hybrid environment. If you're a skilled data professional with a passion for AWS, Python, and ETL/ELT, and you hold a security clearance, you'll thrive in this impactful position. Apply today to join a dynamic team and advance your career!
Quick Overview
Job Description
Senior Data Engineer
Build scalable ETL/ELT data pipelines using Python and SQL.
Develop AWS-based data lakes, warehouses, and data platforms.
Integrate data from APIs, databases, files, and enterprise systems.
Work with AWS Glue, S3, Redshift, Spark/Databricks, Airflow, and Kafka.
Build containerized data workflows using Docker.
Support Terraform, Kubernetes, CI/CD, and cloud deployments.
Implement data quality, lineage, governance, monitoring, and security.
Troubleshoot and optimize production data pipelines.
Core requirement: Enterprise Data Engineering + AWS + Python + SQL + ETL/ELT + Docker.
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