We are looking for a skilled Data Engineer (2P level) with 3 - 5 years of experience in building, optimizing, and maintaining data pipelines, data integration workflows, and analytical data solutions. The ideal candidate will have solid hands-on expertise with Snowflake SQL, Azure Data Factory (ADF), ETL Pipelines and Python.
Data Pipeline Development & Maintenance:- Design andmaintainscalable ETL/ELT pipelines usingADF.
- Develop ingestion, transformation, and validation logic using Snowflake SQL and Python.
Data Warehousing & Modeling:- Build andoptimizewarehouse structures and models in Snowflake.
- Support data marts and reporting layers.
Data Quality, Governance & Monitoring:- Implement validation routines and monitoring processes.
-Participatein governance and follow data security standards.
Documentation:- Document dataflows, ETL logic, and operational procedures.

Experience:3 to 5 yearsof hands-on experience in data engineering, particularly in data warehouse development and ETL pipeline design.

- Education:Bachelor's degree in Computer Science,



Information Systems, Data Engineering, ora relatedfield.
- Proven experience with Azure Data Factory.

ExpertiseinSnowflakefor data warehousing, query optimization, and storage management.
Strong SQL skills and experience with modern ETL tools (e.g., Azure Data Factory, Snowflake).

- Data Modeling:Ability to design scalable data models for analytics use cases.
- Solid analytical mindset to troubleshoot andoptimizecomplex data issues.
- Collaboration:Ability to work effectively with cross-functional teams, including data analysts, BI developers, and business stakeholders.
- Communication:Excellent verbal and written communication skills to convey technical concepts to both technical and non-technical audiences.

Experience in designing and managing ELT/ETL workflows in ADF.
.Industry Knowledge:Familiarity with the healthcare industry and its data analytics needs.

📌 Senior Data Engineer - SQL (India)
🏢 Providence India
📍 India