Azure Databricks Developer

Immediate Joiners

Location: Bangalore and Pune

Work Mode: Hybrid

Job Details

Roles & Responsibilities

• Design, develop, and optimize data pipelines using Azure Databricks and Azure Data Factory (ADF).
• Build and manage large-scale distributed data processing solutions using Apache Spark.
• Develop ETL/ELT workflows for structured and unstructured data.
• Implement and manage data ingestion, transformation, and orchestration pipelines.
• Work with data lakes (Azure Data Lake Storage Gen2) and data warehousing solutions.
• Optimize performance of Spark jobs and Databricks clusters.
• Collaborate with data architects and stakeholders to design scalable data solutions.
• Ensure data quality, governance, and security best practices.
• Troubleshoot and resolve data pipeline issues.

Job Description

• 6+ years of experience in data engineering or big data technologies.
• Strong hands-on experience with:
• Azure Databricks
• Azure Data Factory (ADF)
• Apache Spark (PySpark/Scala)
• Good understanding of distributed computing and data processing models.
• Experience with Azure Data Lake Storage (ADLS Gen2).
• Strong SQL skills and experience with data modeling.
• Experience in building scalable ETL/ELT pipelines.
• Knowledge of data partitioning, performance tuning, and optimization techniques.
• Familiarity with CI/CD pipelines (Azure DevOps).

Preferred Skills

• Experience with Delta Lake and Lakehouse architecture.
• Knowledge of streaming data processing (Structured Streaming, Kafka, Event Hub).
• Experience with Power BI or other visualization tools.
• Familiarity with Python, Scala, or SQL-based programming.
• Understanding of data governance and security frameworks.