Key Responsibilities & Skills
- Data Lake Architecture & Design
- Enterprise Data Pipeline Development
- ETL / ELT Design & Implementation
- Data Quality Assurance & Monitoring
- Performance Tuning & Optimization
- Production Support & Incident Management
- Root Cause Analysis & Continuous Improvement
- Business Intelligence Enablement
- Cross-Functional Collaboration
- Agile / Scrum Delivery
Technical Skills
- Azure Data Factory / Azure Databricks
- PySpark
- Python
- SQL
- Azure DevOps (CI/CD)
- Git
- CI/CD Pipelines
- Tableau
- Infrastructure-as-Code (IaC)
- Monitoring & Scheduling Tools
Education
Bachelor's Degree in Computer Science, Information Systems, Data Science, Software Engineering, Computer Engineering, Mathematics.
Preferred: Master's in Data Science, Master's in Computer Science, Master's in Information Systems, MBA.
Industry Experience
- Healthcare / Health Insurance
- Insurance
- Financial Services
- Technology Consulting