DataBricks Data Engineering

About the role

The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.

What you'll do

• Design and develop scalable data pipelines using Databricks, PySpark, SQL, and Delta Lake
• Build CDC, batch, and streaming ingestion frameworks for enterprise-scale workloads
• Implement and manage Medallion Architecture (Bronze, Silver, Gold)
• Develop governance solutions using Unity Catalog, including row-level security, data masking, and fine-grained access controls
• Build and maintain Data Quality, Monitoring, and Observability frameworks

What you need

• 5–8 years in data science & ai
• Databricks
• SQL
• ETL
• Spark
• Data modelling
• CI/CD
• Any graduate

Good to have

• LLMs
• dbt
• Kafka
• Airflow
• Scala
• Git