Databricks Developer

Job highlights

• Databricks Certified Associate Developer for Apache Spark with strong Python/Scala and Delta Lake experience
• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake; apply Medallion Architecture; ensure data quality and security; automate and monitor pipelines; collaborate with data teams

Job Description:

• Data Pipeline Design: Architect and implement scalable, reliable data pipelines using Databricks, Spark, and Delta Lake
• Medallion Architecture Implementation: Ingest raw data into the Bronze layer, process and clean it in the Silver layer, and aggregate/transform it for analytics in the Gold layer
• Data Modeling: Design and optimize data models for efficient storage, retrieval, and analytics
  • Data Quality & Security: Implement data validation, quality checks, and security controls throughout the pipeline
  • Automation & Monitoring: Automate pipeline execution, monitor performance, and troubleshoot issues
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to deliver high-quality, analytics-ready data

Essential Skills:

• Databricks Certified Associate Developer for Apache Spark (or equivalent)
  • Strong Python/Scala for Spark development
  • Experience with Delta Lake and Spark DataFrame API
• Proven experience migrating from Cloudera to Databricks
• Data pipeline orchestration (Databricks Jobs, Airflow, etc.)
• Data quality and security best practices

Desirable Skills:

• Databricks Certified Data Engineer Associate
• SQL and advanced query optimization
• Cloud platforms (Azure, AWS, GCP)
• Real-time/streaming data processing (Spark Structured Streaming)
• DevOps/MLOps (CI/CD, Docker, Kubernetes)
• Experience with data governance and lineage tools