Senior Azure Data Engineer

Posted Yesterday
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Pune, Mahārāshtra, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Design, build, and support Azure-based data pipelines and ETL processes using Databricks, ADF, ADLS2, Functions, and Logic Apps. Troubleshoot production issues, apply SQL and Python for data transformations, and uphold data quality, governance, and MDM practices.
Summary Generated by Built In

Must Have: 
1) 5 + Years in Data Engineering skillsets 
2) Excellent Communication and Attitude 
3) Working experience in Azure Databricks, Python, Azure Data Factory, ADLS2, Azure, Function Apps, Logic apps 
4) Strong SQL Knowledge and worked with multiple SQL databases 
5) Good ETL Skills and worked on code from scratch 
6) Strong Troubleshooting and Debugging skills in python/Azure/SQL 
7) Worked on Live Data Pipelines and supported in production environment 
8) Understand Data Quality, Governance and MDM concepts

Responsibilities

1) 5 + Years in Data Engineering skillsets 
2) Excellent Communication and Attitude 
3) Working experience in Azure Databricks, Python, Azure Data Factory, ADLS2, Azure, Function Apps, Logic apps 
4) Strong SQL Knowledge and worked with multiple SQL databases 
5) Good ETL Skills and worked on code from scratch 
6) Strong Troubleshooting and Debugging skills in python/Azure/SQL 
7) Worked on Live Data Pipelines and supported in production environment 
8) Understand Data Quality, Governance and MDM concepts

Qualifications

 5 + Years in Data Engineering skillsets 

Skills Required

  • 5+ years in Data Engineering
  • Excellent communication and attitude
  • Experience with Azure Databricks
  • Python
  • Azure Data Factory
  • ADLS2
  • Azure Function Apps
  • Logic Apps
  • Strong SQL knowledge; worked with multiple SQL databases
  • Good ETL skills and experience building code from scratch
  • Strong troubleshooting and debugging skills in Python/Azure/SQL
  • Experience with live data pipelines and production support
  • Understanding of Data Quality, Governance and MDM concepts
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