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Metro location and a broad, popular Data Engineer skillset increase candidate density.
Core AWS data engineering skills transfer across industries, but healthcare domain adds moderate specialization.
Explicit 8+ years plus mandatory AWS stack, Terraform, and specific languages raises filter strictness.
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Design, develop, and maintain scalable AWS-based data platform services including EMR, S3, Glue, RDS, Aurora, Redshift, PostgreSQL, and DynamoDB with automation.
Build, monitor, and optimize high-performance data pipelines for reliability, scalability, and efficiency using big data frameworks.
Provide technical leadership and mentorship, establish best practices, and collaborate with cross-functional teams to deliver scalable AWS-based data solutions for healthcare.
Bachelor’s degree or higher in Computer Science or related field from accredited institution.
8+ years of experience designing, deploying, and managing cloud-based data platforms on AWS.
Strong expertise in AWS services: EMR, Glue, S3, RDS, Aurora PostgreSQL, and big data technologies including Data Lakehouse architectures.
Proficiency in Python, PySpark, Scala, advanced SQL; experience with Terraform and AWS Lambda for automation and serverless solutions.
Experienced in architecting and implementing complex cloud data engineering solutions in healthcare or similarly regulated domain.
Operating style includes technical leadership, mentoring, and promoting best practices across data engineering teams.
Skilled in collaborating with cross-functional teams including data scientists, analysts, and application developers to build scalable, secure AWS data platforms.