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Medium: mid-tier employer, senior technical role, and broad data-integration skills create moderate competition.
Medium: core data engineering skills transfer across industries, but healthcare/customer-integration emphasis adds domain specificity.
High: explicit 8–10 years requirement plus mandatory ETL, DW and BI expertise narrows shortlisting.
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Lead and supervise a team of engineers and quality analysts to develop, test, and deliver technical solutions for enterprise customers.
Own the delivery plans, timelines, and technical deliverables for data integration, analytics, dashboards, and maintenance operations.
Collaborate closely with cross-functional teams and stakeholders to define, negotiate, and implement features and enhancements.
8 to 10 years of experience in ETL, Data Warehousing/Data Analytics, Business Intelligence, Data visualization, and technical project management.
Hands-on experience with SQL for data extraction, familiarity with ETL tools, mapping documents, and basic Python scripting.
Strong technical project and stakeholder management skills with experience delivering data integration and analytics projects.
Understanding of REST APIs, web services, service-oriented architectures; Agile methodology experience is a plus; US Healthcare experience is a strong plus.
Experienced manager who can lead cross-functional teams including engineering, analytics, and infrastructure in a fast-paced environment.
Proven ability to manage end-to-end delivery of data integration and analytics solutions for enterprise clients, particularly in US Healthcare domain.
Technical operator with strong grasp of data extraction, ETL processes, and collaborative stakeholder negotiation and communication.