Azure + Databricks

Job Title : Azure + Databricks

Experience : 4 to 7 years

Location : Mumbai (only)

Job Summary :

As a Senior Associate, you will take ownership of designing and delivering complex data engineering solutions across cloud and on-premise environments. You’ll lead the technical delivery of ETL / ELT frameworks, data lakes, and data warehouses, leveraging Databricks, Azure, and modern data engineering best practices. You will also mentor junior team members and contribute to solution architecture.

Roles & Responsibilities :

• Lead design and development of end-to-end data pipelines using PySpark, SQL, and Azure Databricks.
• Build and optimize data lakes and data warehouse solutions.
• Implement data ingestion, transformation, and orchestration using tools like Azure Data Factory or Apache Airflow.
• Translate business requirements into technical specifications and ensure alignment with data strategy.
• Conduct code reviews, performance tuning, and pipeline optimization.
• Collaborate with cross-functional teams (data science, BI, and architecture) to enable advanced analytics.
• Mentor Associates and support delivery excellence through documentation and process improvements.

Skills Required :