Data Engineer

About the role

As a Databricks & Snowflake Data Engineer, you will work closely with experienced data engineers, architects, and analytics teams to design, build, and optimize modern data platforms. You will be involved in the end-to-end data engineering lifecycle—from data ingestion and transformation to pipeline orchestration, data modeling, and performance optimization.

What you'll do

• Work with senior data engineers and architects to build, optimize, and maintain scalable data pipelines and workflows
• Develop ETL/ELT processes using Databricks, Spark, Python, and SQL
• Design and implement data ingestion frameworks for structured and unstructured data sources
• Build and maintain data models, data marts, and analytical datasets in Snowflake
• Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability

What you need

• 1–3 years in data science & ai
• SQL
• Python
• ETL
• Databricks
• Snowflake
• Spark
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• GCP
• Azure
• Data modelling
• Data warehousing