AWS Databricks Data Engineer
Posted Updated
JOB DETAILS:
Position -
DATA ENGINEER Relevant Experience - 4 to 7 years Location Option – Pune / Gurgaon / Bangalore ( Manyata Tech Park, Nagavara)
Skills:
Databricks, Azure / AWS, SQL, Python, PySpark, GitHub Actions, Jira, Agile development
SQL – Must Have 1. Window functions (ROW_NUMBER, RANK, LEAD, LAG). 2. joins and query optimization.
JD: Specialized in building scalable pipelines using GitHub, optimizing ETL workflows using native Databricks capabilities and Azure/ Amazon web services - Build and maintain API integrations - Develop SFTP pipelines and automated file ingestion - Create error handling, notifications, and monitoring workflows - Implement low-complexity ingestions (e.g., file drops, partner data shares) - Maintain scripts and GitHub repositories - Test pipelines and Document flows
Position -
DATA ENGINEER Relevant Experience - 4 to 7 years Location Option – Pune / Gurgaon / Bangalore ( Manyata Tech Park, Nagavara)
Skills:
Databricks, Azure / AWS, SQL, Python, PySpark, GitHub Actions, Jira, Agile development
SQL – Must Have 1. Window functions (ROW_NUMBER, RANK, LEAD, LAG). 2. joins and query optimization.
JD: Specialized in building scalable pipelines using GitHub, optimizing ETL workflows using native Databricks capabilities and Azure/ Amazon web services - Build and maintain API integrations - Develop SFTP pipelines and automated file ingestion - Create error handling, notifications, and monitoring workflows - Implement low-complexity ingestions (e.g., file drops, partner data shares) - Maintain scripts and GitHub repositories - Test pipelines and Document flows