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Tier-1 brand, mid-level generalist data role, and broad skill requirements increase applicant competition.
Core data engineering skills are transferable, though healthcare domain knowledge moderately favors sector experience.
Explicit 5+ years ETL/data warehousing and mandatory SQL/cloud skills create strict shortlisting filters.
Manage end-to-end data load processes including monitoring and handling delayed data feeds.
Write complex SQL queries to support business requirements across client life cycle phases.
Own liaison activities, process automations, and support cloud migration efforts with accountability for continuous improvement.
Bachelor's degree in Computer Science or any engineering.
5+ years of experience in ETL and Data warehousing services.
4+ years of experience in Data analysis and functional quality control (QC).
Knowledge of AWS Cloud required.
Experience with Spark SQL, SSIS, and Python is beneficial for success in this role.
Familiarity with US Healthcare domain is a plus.
Demonstrated ability to work independently on automation and process improvements with strong analytical skills.