Senior / Lead Data Engineer
Core
Lead data engineering and analytics initiatives, managing data exploration, defining data definitions/rules, and building scalable solutions for complex business problems.
Role type
Senior/Lead Data Engineer (Analytics & Governance)
Builds
Scalable data engineering solutions, data governance frameworks, and analytical models for business insights.
Domain
Healthcare / Data Engineering & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, R, Snowflake, Databricks, Azure Data Factory, PySpark, Analytical SQL, Statistical analysis, Predictive modeling, Data mining, Distributed programming, Infrastructure as Code (IaC), RESTful web services troubleshooting
Preferred skills
SAP, IBM DataStage, Power BI, Tableau, Looker, Splunk, Alation
Technologies
Snowflake, Databricks, Azure Data Factory, PySpark, Splunk, Alation, SAP, IBM DataStage
Responsibilities
Manage data exploration, analysis, and requirements assessment; Define and maintain data definitions, business rules, and lineage; Design and develop full-stack data solutions; Implement data governance practices; Build scalable data pipelines for batch and real-time modes; Mentor teams and lead strategic initiatives.
Seniority
Senior, hands-on IC with leadership/mentorship responsibilities
