Description

We're looking for a skilled Databricks Developer to build, optimize, and maintain data pipelines on our enterprise Lakehouse platform.
  
 
 What you'll own:
 
Design & develop ETL/ELT pipelines using Databricks (PySpark/Scala/SQL)
Build and maintain Delta Lake tables following medallion architecture (Bronze/Silver/Gold)
Implement batch and streaming pipelines using Structured Streaming, DLT (Delta Live Tables), and Workflows
Work with Unity Catalog for data access, lineage, and governance
Write efficient, optimized Spark code and troubleshoot performance issues
Collaborate with architects, analysts, and business teams to translate requirements into pipelines
Participate in code reviews, testing, and CI/CD deployment of notebooks/jobs
 
 What you bring:
 
5-8 years in data engineering, with 2+ years hands-on on Databricks
Strong programming skills in PySpark, Python, and SQL
Solid understanding of Delta Lake, Lakehouse patterns, and medallion architecture
Experience with Databricks Workflows, Jobs, and Delta Live Tables (DLT)
Familiarity with cloud platforms (AWS / Azure / GCP) — storage, compute, and data services
Understanding of data quality, schema evolution, and partitioning strategies
Experience with Git-based version control and CI/CD for data pipelines
Good communication skills for working with cross-functional teams

Key Skills

Education

Any Graduate