Sr. Databricks Engineer

About the role

Azure / Databricks Data Engineer (9-15 Years Experience) Job Title We are seeking a skilled Databricks Engineer with minimum of 5+ years of hands-on in Databricks who can design, develop, and optimize scalable data platforms and analytics solutions using the Databricks Lakehouse Platform.

What you'll do

• Design, develop, and maintain data pipelines using Databricks, Apache Spark, and cloud-native services
• Build and optimize ETL/ELT workflows for large-scale structured and unstructured data
• Develop data models and implement data quality, validation, and governance frameworks
• Integrate data from multiple sources into a unified Lakehouse architecture
• Optimize Spark jobs and Databricks workloads for performance, scalability, and cost efficiency

What you need

• 9–15 years in data science & ai
• Databricks
• Machine learning
• SQL
• Python
• ETL
• Data warehousing
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Kafka
• Snowflake
• Power BI
• Data analysis
• Financial statements
• LLMs