AWS DataBricks Engineer

Requirements

• 8+ years of experience in Data Engineering.
  


• Experienced Databricks Engineer to design, develop, and maintain scalable data solutions using Databricks and cloud technologies.
  


• Develop and maintain data pipelines using Databricks, PySpark, and SQL.
  


• Work with Delta Lake, Databricks Workflows, and Jobs.
  


• Build and optimize ETL/ELT pipelines for large-scale data processing.
  


• Collaborate with Data Engineers, Architects, and business stakeholders.
  


• Troubleshoot and optimize pipeline and data-processing performance.
  


• Implement data quality, monitoring, and engineering best practices.
  


• Strong hands-on experience with Databricks and PySpark.
  


• Good knowledge of SQL, ETL/ELT, and Data Warehousing.
  


• Experience with Azure, AWS, or GCP.
  


• Familiarity with Git, CI/CD, and DevOps practices.
  


• Strong communication and problem-solving skills.
  


• Experience with Azure Data Factory, Databricks Unity Catalog, Terraform, and streaming technologies.
  
  
  

Benefits