Data Engineer – Azure Databricks & PySpark (US Healthcare – Mandatory)
Experience: 6+ Years

Job Summary
We are looking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Oracle SQL, and ETL/ELT development. The ideal candidate must have hands-on experience in the US Healthcare domain, working with payer datasets such as Claims, Membership, Provider, and Eligibility.

Mandatory Skills
5+ years of experience in Data Engineering/ETL development.
US Healthcare (Payer) domain experience is Mandatory.
Strong SQL expertise with Oracle (Mandatory).
Hands-on experience with Azure Databricks and PySpark.
Experience in designing and developing ETL/ELT pipelines.
Working knowledge of Azure Synapse Analytics.
Robust Python programming skills.
Experience in data validation, debugging, and performance tuning.
Experience with healthcare datasets such as Claims, Membership, Provider, and Eligibility.





Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Azure Databricks.
Develop scalable data transformation solutions using PySpark.
Write and optimize complex SQL queries in Oracle, Azure SQL, and Synapse.
Perform data validation, reconciliation, and performance optimization.
Support cloud migration initiatives from Oracle to Azure.
Build high-quality datasets for reporting and analytics (Power BI support).
Collaborate with Product Owners, Data Scientists, BI teams, and business stakeholders.
Ensure data quality, governance, and compliance with enterprise standards.
Participate in Agile ceremonies, sprint planning, and documentation.

Regards,
Chetan Gurudev
[email protected]

📌 Data Engineer – Azure Databricks (India)
🏢 Sagility
📍 India