Senior Databricks Engineer

We are looking for a Senior Databricks Engineer with 7+ years of experience in data engineering and strong hands-on expertise in Databricks and Apache Spark. The ideal candidate will design and build scalable data pipelines, optimize large-scale data processing, and work with cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
  
  


• Develop and optimize PySpark/Spark jobs for large-scale data processing.
  
  


• Build reliable ETL/ELT pipelines using Databricks workflows, Delta Lake, and SQL.
  
  


• Implement data transformations, data quality checks, and performance optimization.
  
  


• Work with cloud data platforms such as AWS, Azure, or GCP.
  
  


• Optimize Spark jobs, cluster configurations, partitioning, joins, and data processing performance.
  
  


• Collaborate with data engineers, data scientists, analysts, and business teams to deliver data solutions.
  
  


• Implement best practices for CI/CD, version control, monitoring, and production support.
  
  


• Troubleshoot data pipeline and performance issues in production environments.
  
  

Required Skills

• 7+ years of experience in Data Engineering.
  
  


• Strong hands-on experience with Databricks.
  
  


• Strong expertise in Apache Spark / PySpark.
  
  


• Experience with Delta Lake, Databricks Workflows, and Spark SQL.
  
  


• Strong proficiency in Python and SQL.
  
  


• Experience building and optimizing large-scale ETL/ELT pipelines.
  
  


• Experience with at least one cloud platform: AWS, Azure, or GCP.
  
  


• Good understanding of data warehousing, data modeling, and distributed data processing.
  
  


• Experience with Git and CI/CD practices.
  
  

Preferred Skills

• Experience with Unity Catalog and Databricks governance.
  
  


• Experience with Azure Data Factory, AWS Glue, or similar orchestration tools.
  
  


• Knowledge of streaming technologies such as Kafka or Spark Structured Streaming.
  
  


• Experience with Infrastructure as Code or cloud automation.
  
  


• Databricks certifications are a plus.