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Tier-1 brand, mid-level generalist data role, and common 3 to 6 year range increase competition.
Core data engineering skills transfer across industries, though healthcare domain exposure favors specialized candidates.
Multiple mandatory technologies and an explicit 4+ years requirement increase shortlisting strictness.
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Design, develop, and maintain scalable data pipelines and ETL/ELT processes using SQL, Python, Snowflake, Postgres, and MySQL.
Optimize data workflows via query tuning, indexing, and performance engineering to ensure data accuracy, integrity, and high performance.
Mentor junior engineers and collaborate with cross-functional teams to translate business requirements into reliable data models and scalable data platform solutions.
Bachelor's degree or equivalent experience.
4+ years of experience in data engineering or software engineering with a strong data focus.
Hands-on experience with Snowflake, Python development, Postgres and/or MySQL databases, and data pipeline orchestration tools (e.g., Airflow, Azure Data Factory).
Experience with large-scale data processing, performance optimization, Azure cloud environments, and advanced SQL skills in data transformation and query tuning.
Experienced working in Agile/Scrum teams with exposure to healthcare or medical management data domains.
Strong expertise in data warehousing concepts, dimensional modeling, data governance, and data quality frameworks.
Capable of strategic data platform design decisions emphasizing scalability, reliability, and maintainability in cloud ecosystems like Azure with Snowflake.