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Metro locations, mid-level (5–7 yrs) range, and broad Snowflake/SQL/Python skillset increases competition.
Core data engineering skills transferable across industries, though healthcare domain experience is advantageous.
Explicit 5–7 year requirement plus mandatory Snowflake, SQL, and Python demands tight filters.
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Design and build healthcare applications using Snowflake and advanced SQL within an Agile team.
Perform data profiling to identify data issues, write ETL processes to populate client data platforms, and create dimensional data structures.
Mentor junior team members and liaise with Product and QA teams to refine requirements and resolve issues.
5-7 years of relevant experience.
Engineering degree (BE/ME/BTech/MTech/BSc/MSc) mandatory.
Strong hands-on experience with Snowflake and advanced SQL (including CTEs, complex joins, analytic/windowing functions).
Proficiency in Python and data profiling skills (identifying primary keys, cardinality, data types, precision, scale, and skew).
Experienced working in healthcare IT, preferably with payer domain knowledge or healthcare data models.
Ability to independently understand scope and drive work to completion with minimal direction in an Agile setup.
Proven capability to communicate effectively across teams and mentor junior members.