Location
Mumbai, Maharashtra, India
Posted
June 26, 2026
Job Description
Job Title:
Senior Databricks Data Engineer (Machine Learning Mandatory)
Location:
Hyderabad/Pune/Bangalore
Work mode : Work from Office (4 Days per week)
Experience:
5+ Years
Job Summary
We are seeking a Databricks Data Engineer with strong expertise in Azure Data Factory (ADF), PySpark, SQL, and Machine Learning. The ideal candidate must have hands-on experience building data pipelines and working directly on Machine Learning projects, including data preparation, feature engineering, model deployment support, and ML lifecycle management.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory (ADF).
Build and optimize ETL/ELT processes for large-scale data processing.
Develop complex SQL queries, data models, and performance optimizations.
Prepare, cleanse, and transform data for Machine Learning use cases.
Implement feature engineering and ML data pip...
Senior Databricks Data Engineer (Machine Learning Mandatory)
Location:
Hyderabad/Pune/Bangalore
Work mode : Work from Office (4 Days per week)
Experience:
5+ Years
Job Summary
We are seeking a Databricks Data Engineer with strong expertise in Azure Data Factory (ADF), PySpark, SQL, and Machine Learning. The ideal candidate must have hands-on experience building data pipelines and working directly on Machine Learning projects, including data preparation, feature engineering, model deployment support, and ML lifecycle management.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory (ADF).
Build and optimize ETL/ELT processes for large-scale data processing.
Develop complex SQL queries, data models, and performance optimizations.
Prepare, cleanse, and transform data for Machine Learning use cases.
Implement feature engineering and ML data pip...