Lead Data Engineer

About the role

We are looking for an experienced Lead Data Engineer to design, build, and manage scalable data pipelines and platforms. The ideal candidate will lead the data engineering team, collaborate with cross-functional stakeholders, and ensure high-quality, reliable, and secure data solutions that support business and analytics needs.

What you'll do

• Lead the design, development, and maintenance of robust and scalable data pipelines using Databricks
• Architect end-to-end data solutions including data ingestion, transformation, storage, and analytics
• Build and optimize data workflows using Databricks, Spark, and cloud data platforms
• Guide and mentor a team of data engineers, ensuring best practices and code quality
• Collaborate with product managers, data scientists, analysts, and business teams to understand data requirements

What you need

• 7–13 years in data science & ai
• SQL
• ETL
• Python
• Databricks
• Spark
• AWS
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Kafka
• Data warehousing
• Snowflake
• Redshift
• BigQuery
• Airflow