About Position:

We are seeking a highly motivated Data Engineer with 8 to 12 years of experience in Data Engineering, Data Warehousing, and Big Data platform development. The ideal candidate will have robust expertise in Azure, Databricks, SQL, Python, and Generative AI technologies, along with experience building scalable and reliable data platforms that power analytics, reporting, and AI/ML initiatives.

Role: Data Engineer -Health Care
Location: All Persistent Locations
Experience: 8 to 12 years
Job Type: Full-Time Employment

What You'll Do:

Design, develop, and maintain scalable data pipelines and integration frameworks.
Build and optimize enterprise data warehouses, data lakes, and cloud-native data platforms.
Develop robust ETL/ELT processes using SQL, Python, Databricks, and Azure services.
Create scalable data solutions that support business intelligence, analytics, and AI/ML workloads.
Build and maintain data models to support reporting, operational dashboards, and advanced analytics.




Collaborate with business stakeholders to understand data requirements and transform them into technical solutions.
Support feature engineering and data preparation activities for Machine Learning and Generative AI use cases.
Ensure data quality, integrity, availability, security, and platform reliability.
Implement monitoring, automation, alerting, and operational support processes.
Optimize data processing jobs for performance, scalability, and cost efficiency.
Support cloud data platforms including Azure Data Factory, Synapse, Databricks, and Snowflake.
Participate in code reviews and ensure adherence to data engineering and development best practices.
Work with DevOps teams to implement CI/CD pipelines and Infrastructure as Code practices.
Ensure compliance with data governance, privacy, security, and regulatory standards.
Contribute to Agile delivery processes including sprint planning, reviews, and release activities.
Leverage enterprise-approved AI tools to improve p

📌 Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune