Lead Data Engineer - Databricks

About the role

We are looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have strong expertise in Python, PySpark, SQL, Databricks, AWS, and REST API integrations for data ingestion, managing large volumes of data, and data export

What you'll do

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks
• Integrate data from multiple sources, including databases, Amazon S3, files, and REST APIs
• Build data pipelines with Databricks Unity Catalog
• Implement business logic, data transformations, and dimensional data models
• Create, schedule, monitor, and optimize Databricks Jobs and Workflows

What you need

• 9–16 years in data science & ai
• Databricks
• SQL
• Python
• ETL
• Spark
• Data modelling
• Any graduate

Good to have

• Kafka
• Airflow
• dbt
• Data warehousing
• Snowflake
• REST APIs