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Mid-level data role, recognized healthcare brand, metro location and broad mainstream tech stack increases candidate competition.
Core data engineering skills transfer across industries; healthcare domain knowledge is optional.
Explicit 6–8 years requirement plus multiple mandatory data platform, Databricks and Informatica skills.
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Lead design and development of data extraction, transformation, and loading workflows using Informatica and Databricks.
Write performant SQL queries and develop scalable applications related to Oracle databases and big data platforms.
Oversee deployment and monitoring through DevOps pipelines on AWS, troubleshoot production issues, and mentor junior team members.
6-8 years of relevant work experience in software engineering with strong SQL and Oracle skills.
Hands-on experience with Informatica, Databricks, SQL, Python, Shell scripting, and Spark.
Familiarity with Agile methodologies and DevOps tools like Git, Jenkins, and Artifactory.
Not explicitly mentioned in the JD: specific degree requirement, location, or notice period.
Technical lead experienced in big data platforms and cloud deployments, specifically with AWS and Databricks integration.
Experienced in healthcare domain or motivated to apply technical skills to healthcare data solutions.
Proven ability to manage end-to-end software development lifecycle including sprint participation and production support.