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Tier-1 employer, metro location, popular mid-level Data Engineer title, broad skillset and 4+ years increase competition.
Core data engineering skills (Spark, Scala, AWS) are highly transferable across industries, so low sensitivity.
Explicit 4+ years and mandatory Spark, Scala, AWS, and SQL skills indicate high shortlisting strictness.
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Support clinical business applications including business requirements gathering, technical analysis, and production support.
Design, develop, test, and implement data ingestion pipelines and enhance existing applications using Big Data and AWS technologies.
Lead end-to-end project delivery with ownership, including mentoring and knowledge transfer to junior team members.
Bachelor's degree in B.Tech/B.E or MCA.
4+ years of experience with AWS services (RDS, Lambda, Glue, EMR, Redshift), Apache Spark, Kafka, Scala, and SQL/NoSQL databases (MySQL, Postgres, Elasticsearch).
Proficient in Spark programming paradigms (batch and stream-processing) and strong SQL knowledge including query optimization.
Experience with DevOps and CI/CD tools such as Bitbucket and Bamboo.
Experienced individual contributor comfortable working in Agile and SAFe Agile teams.
Strong analytical skills with ability to problem-solve complex issues in Big Data environments.
Capable of independently managing end-to-end delivery and providing technical guidance and mentorship to junior team members.