Data Engineer - Cloud ETL, Azure, Data Bricks, Snowflake, PySpark
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₹25,00,000 - ₹35,00,000 / year
Based on market tech benchmarksSenior (5+ years)
Prior hands-on project experienceOn-site
Office collaboration scheduleHyderabad
Registered workplace addressRequired Tech Stack & Skills
AI Role Summary
Optum India seeks a senior Data Engineer to build and maintain cloud‑based ETL pipelines using Databricks, Snowflake, Azure, and PySpark, ensuring high performance, data quality, and regulatory compliance. The role requires strong Python skills, workflow orchestration, and CI/CD expertise.
Detailed Role Description
About the Role
Optum India is looking for an experienced Data Engineer to design, build, and maintain robust cloud‑based ETL/ELT pipelines. You will work with leading technologies such as Databricks, Snowflake, Azure Data Factory, and PySpark to deliver high‑quality data solutions that empower healthcare analytics and AI initiatives.
Key Responsibilities
- Design, develop, and optimize ETL/ELT pipelines using Databricks, Snowflake, Python, and Teradata.
- Build scalable data solutions that support enterprise reporting, analytics, and machine learning workloads.
- Develop and maintain workflow orchestration with Airflow.
- Perform data quality validation, performance tuning, and troubleshooting in production.
- Collaborate with business and technical stakeholders to gather requirements and deliver data solutions.
- Implement CI/CD and code management practices using GitHub and GitHub Copilot.
- Support production deployments, issue resolution, and operational monitoring.
- Ensure compliance with data governance, security, and healthcare regulations.
Required Qualifications & Skills
- 5+ years of experience as a Data Engineer in a cloud environment.
- Hands‑on expertise with Databricks, Snowflake, Azure Data Factory, and PySpark.
- Strong Python programming skills and experience with data modeling.
- Proficiency in workflow orchestration tools such as Airflow.
- Experience with CI/CD pipelines and GitHub.
- Knowledge of data governance, security, and regulatory compliance in healthcare.
Nice to Have
- Experience with Azure Synapse Analytics or AWS Redshift.
- Knowledge of Delta Lake and ACID transaction support.
- Familiarity with Kubernetes and containerized data workloads.
What We Offer / Benefits
- Competitive salary package with performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Professional development and certification support.
- Inclusive, collaborative work culture with global impact.
- Flexible work arrangements and generous paid time off.
Quick Role Summary
| Job Title | Data Engineer - Cloud ETL, Azure, Data Bricks, Snowflake, PySpark |
|---|---|
| Experience | Senior (5+ years) |
| Work Mode | On-site |
| Estimated CTC | ₹25,00,000 - ₹35,00,000 / year |
About The Employer
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