Data Engineer

About the Role

We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, develop, and optimize enterprise-scale data pipelines. You'll play a key role in building scalable Lakehouse solutions while ensuring reliable, high-quality data for analytics, reporting, and downstream applications.

Key Responsibilities

• Design and build scalable ETL/ELT pipelines using Databricks
• Develop PySpark and Spark SQL transformations
• Build Bronze, Silver, and Gold data layers using Medallion Architecture
• Implement Delta Live Tables, Workflows, and Unity Catalog
• Optimize Spark jobs for scalability and performance
• Design dimensional data models for analytical workloads
• Implement data quality validations and monitoring
• Collaborate with analytics, engineering, and architecture teams
• Build reusable frameworks and automation
• Support CI/CD deployment pipelines and Git-based development

Required Qualifications

• 7–10+ years of Data Engineering experience
• Extensive hands-on Databricks experience
• Strong PySpark programming
• Advanced Spark SQL skills
• Experience with Delta Lake
• Experience implementing Medallion Architecture
• Hands-on Delta Live Tables
• Unity Catalog experience
• Strong SQL optimization and performance tuning
• Experience with AWS, Azure, or GCP
• CI/CD and Git experience
• Strong understanding of distributed data systems
• Experience designing enterprise data models

Preferred Qualifications

• Databricks certification
• Experience with streaming data
• Experience building reusable data frameworks
• Experience with enterprise governance
• Exposure to AI-assisted development tools including Databricks AI Genie

#LI-WJ1
#PSI2