- Develop and maintain scalable data solutions using Azure Databricks.
- Build and optimize ETL/ELT pipelines using Databricks and Azure Data Factory.
- Develop data processing solutions using PySpark / Spark SQL.
- Work with Azure Data Lake Storage (ADLS) and other Azure data services.
- Design and optimize data models, transformations, and workflows.
- Perform data validation, troubleshooting, and performance tuning.
- Collaborate with data engineers, architects, analysts, and business teams.
- Implement data quality, security, and governance best practices.
Interested candidates can share their updated resumes at:
[email protected]
Pay: ₹509,511.98 - ₹1,869,439.80 per year
Work Location: Remote
