Hiring for Azure Databricks Engineer Pan India locations

Job Description

We are looking for an experienced Azure Databricks Engineer to join our team, responsible for designing, implementing, and optimizing data processing solutions using Azure Databricks. The role involves working with cloud-native data services such as Azure, Data Factory, and Databricks, and utilizing tools like Python, PySpark, and SQL.

Key Responsibilities

Design, develop, and optimize scalable big data solutions using Azure Databricks. Implement data ingestion and transformation pipelines using Azure Data Factory. Write and maintain code in Python and PySpark for data processing tasks. Develop and optimize SQL queries for data retrieval and manipulation. Collaborate with data scientists, analysts, and other engineering teams to integrate and scale data solutions. Ensure data quality, performance optimization, and secure access to the data environment. Troubleshoot issues and provide on-time resolution of data pipeline failures.

Required Skills & Experience

5 to 9 years of hands-on experience with Azure Databricks and related technologies. Strong proficiency in Azure, Data Factory, Databricks, Python, PySpark, and SQL. Demonstrated ability to work on large-scale data projects and implement robust data processing pipelines. Experience working in hybrid cloud environments and optimizing resource utilization.

Job Location

Pan India – Open to all locations where end client is located(Hybrid Model)

Work Schedule

UK Shift (Hybrid Model).

Option 1: 3 days a week from office. Option 2: 12 continuous days from the office.

Employment Type

Full-time

Candidate Profile

U3/U4/P1 band candidates preferred. Immediate or early joiners.