Senior Data Engineer
Providence Global Center (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 10–18 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Snowflake SQL, and Python.
- Build and optimize data warehouse structures and support data marts, ensuring seamless integration with Power BI for reporting.
- Implement data quality, validation, governance, and monitoring processes while collaborating with analytics teams and stakeholders to meet business requirements.
Minimum Requirements
- 3 to 5 years of hands-on data engineering experience, especially in data warehouse development and ETL pipeline design.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Proven experience with Azure Data Factory and Snowflake including query optimization and storage management.
- Strong SQL skills and experience developing and maintaining ETL/ELT pipelines with modern tools (Azure Data Factory, Snowflake, Python).
Ideal Candidate Profile
- Experienced in building scalable data models and pipelines supporting analytics and BI reporting in enterprise environments.
- Capable of collaborating effectively with cross-functional teams including BI developers, data analysts, and business stakeholders to translate technical workloads to business needs.
- Practical knowledge of healthcare domain data and analytics needs is advantageous though not mandatory.