We are looking for a highly skilled Data Engineer with strong expertise in Azure Databricks and good understanding DevOps Practices. The ideal candidate will design, build, and optimize large-scale data pipelines and data warehousing solutions on cloud platforms.
Job Details
Job Title: Data Engineer - Azure Databricks
Location: Bangalore (Hybrid)
Experience: 2 - 4 Years
Employment Type: Full time
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python
Perform distributed data processing using PySpark on Azure Databricks
Implement and manage Delta Lake, Databricks cluster configurations
Develop ETL/ELT workflows for structured and unstructured data
Optimize data warehouse performance through efficient schema design and query tuning
Work with orchestration tools like Apache Airflow for scheduling and workflow management
Collaborate with cross-functional teams to deliver high-quality data solutions
Ensure data reliability, governance,
and best practices across platforms
Required Skills
Advanced proficiency in Python for data engineering
Robust hands-on experience with PySpark
Deep expertise in Azure Databricks, including Delta Lake and cluster management
Robust experience with SQL for analytics and data warehousing
Experience with data warehousing platforms such as:
Snowflake
Azure Synapse Analytics
AWS Redshift
Working knowledge of cloud platforms: Azure
Good to Have
Experience with NoSQL databases (e.g., MongoDB)
Exposure to big data services like Azure Data Factory
DevOps: CI/CD pipelines, Docker, Kubernetes
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Senior Data Engineer Karnataka
🏢 Embitel Technologies
📍 Karnataka
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