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Tier-1 employer, metro location, and broad data-engineering skillset increase applicant competition.
Core data engineering skills transfer across industries, though healthcare experience is preferred.
Multiple explicit years requirements and mandatory cloud and big-data technologies increase filter strictness.
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Lead design and development of scalable, resilient, and self-healing Enterprise Data solutions on AWS cloud using Spark and related technologies.
Drive automation of manual tasks and ensure comprehensive telemetry for application ecosystems to improve efficiency and reliability.
Mentor engineering team members, collaborate across teams, and partner with Product Owners to deliver value in agile framework.
Graduate degree or equivalent experience.
7+ years experience in commercially available software or healthcare platforms as a Data Engineer.
5+ years production experience with AWS cloud technologies.
3+ years experience designing and building Enterprise Data solutions on cloud leveraging Spark, Github Actions, and Terraforms.
Experienced leader capable of driving team culture, mentoring junior engineers, and influencing cross-team collaboration.
Proficient in cloud-native software engineering with deep expertise in AWS and Big Data ecosystems.
Strategic thinker focused on automation, continuous delivery, and maintaining production reliability for global user base.