Job Description - Databricks Developer

Role:	Databricks Developer
Location:	Gurgaon/Bangalore (5 days mandatory work from office)
Type:	Full-time
Experience:	8+ years

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.
• Develop and optimize data ingestion frameworks, data transformations, and end-to-end workflows for batch and streaming use cases.
• Implement Delta Lake-based architectures, including versioning, schema evolution, and ACID-compliant pipelines.
• Work with stakeholders to understand data requirements and translate them into scalable data engineering solutions.
• Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.
• Ensure data quality, reliability, and observability through validation frameworks and monitoring.
• Contribute to data modeling, metadata management, and best practices within the data platform.

Must have Skills & Experience

• 8+ years of experience in data engineering with 6+ years of hands-on expertise in Databricks.
• Hands-on experience with Spark (PySpark/Spark SQL) and distributed data processing.
• Solid SQL knowledge and experience working with large-scale datasets.
• Strong understanding of Delta Lake, medallion architecture, and scalable lakehouse patterns.
• Good understanding of CI/CD, Git, and modern DevOps practices for data pipelines.
• Familiarity with structured/unstructured data, data quality frameworks, and performance tuning.

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