Data bricks, SQL Developer

Job highlights

• 9+ years experience with 4+ years in Databricks, expertise in Databricks Lakehouse Architecture, Apache Spark, PySpark, and Advanced SQL
• Design and build scalable data pipelines, manage Databricks infrastructure, develop optimized SQL queries, collaborate on solution architecture, and implement ETL best practices

Job Details

• Experience Required: 9+ Years (Minimum 4 Years in Databricks )
• Notice Period: Immediate

Job Summary

We are hiring an experienced Databricks + SQL Developer with strong hands-on expertise in Databricks Lakehouse Architecture, Apache Spark, PySpark, and Advanced SQL . Ideal candidate should have solution architecture-level knowledge and experience in designing scalable data platforms.

Key Responsibilities

• Design & build scalable data pipelines using Databricks, Apache Spark, PySpark
• Hands-on work with Databricks Lakehouse Architecture , data modeling & warehousing
• Manage compute cluster configurations , infra provisioning & workflow creation in Databricks
• Develop optimized queries using Advanced SQL
• Participate in Agile ceremonies , write user stories & acceptance criteria
• Collaborate with architects for solution design & technical guidance
• Implement performance optimization, ETL best practices & data governance standards

Required Skills

• 4+ years Databricks (Must)
• Strong understanding of Databricks Lakehouse Architecture
• Deep knowledge of Data Modeling, DWH, Apache Spark Architecture
• Expertise in Python, PySpark, Apache Spark, Advanced SQL
• Experience working in Agile with user stories & backlog management
• Good to Have Azure/AWS/GCP cloud knowledge
• Delta Lake, Unity Catalog, CI/CD exposure
• Data governance & architect-level design experience.