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Metro location, common data-engineer skillset, and known global employer increase applicant density moderately.
Core data engineering skills are transferable but healthcare domain and platform experience moderately restrict fit.
Explicit 7-12 years plus mandatory PySpark, AWS, SQL, and CI/CD experience makes filtering stringent.
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Design, develop, deploy, monitor, and support analytics and rebuild legacy reports in data mart platform within the Data Engineering team.
Implement CI/CD for data platform deployment, set up proactive monitoring, automation for self-service model, and troubleshoot production issues to ensure platform uptime.
Mentor junior engineers and collaborate with IT/business partners to improve processes and use platform metrics for infrastructure optimization.
7-12 years IT experience with Bachelor's in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or related technical field.
Minimum 6 years Data Engineering experience (or 4 years with advanced degree).
Mandatory skills: SQL querying, Core Python, PySpark, AWS native tools (S3, Glue, Lambda, EMR, Athena, Step Functions).
Experience with Job Orchestration tools (preferably AWS Step Functions, Airflow/Oozie), Git/GitHub, and production support rotation.
Experienced delivering independent solutions from business requirements using modern cloud-native data platforms and automation.
Strong expertise in SQL modernization, Python programming, and PySpark in AWS environment, including CI/CD and platform management.
Able to mentor junior engineers and collaborate cross-functionally to drive process improvements and ensure platform reliability.