Walk-In Drive at Pune For Azure Data Engineer on 28th June

Greeting from Infosys BPM Ltd.,

28th June

Note

Please use below link to apply and register your application.https://career.infosys.com/jobdesc?jobReferenceCod

Interview Information

Interview Date: 28th June 2025

Interview Time: 10:00 Am till 01:00PM

Interview Venue: Taluka Mulshi, Plot No. 1, Pune, Phase 1, Building B1

Ground floor, Hinjewadi Rajiv Gandhi Infotech Park,

Pune, Maharashtra-411057

Documents to Carry

• Please carry 2 set of updated CV (Hard Copy)
• Carry any 2 photo Identity proof

  (PAN Card mandatory

  /Driving License/Voters ID card/Passport)

About the Job

We're seeking a skilled Azure Data Engineer to join our dynamic team and contribute to our data management and analytics initiatives.

Job Role: Azure Data Engineer

Job Location: Pune

Experience: 5+ Yrs

Skills: SQL + ETL + Azure + Python + Pyspark + Databricks

Responsibilities:

• Design, develop, and deploy data solutions on Azure, leveraging SQL Azure, Azure Data Factory, and Databricks.
• Build and maintain scalable data pipelines to ingest, transform, and load data from various sources into Azure data repositories.
• Implement data security and compliance measures to safeguard sensitive information.
• Collaborate with data scientists and analysts to support their data requirements and enable advanced analytics and machine learning initiatives.
• Optimize and tune data workflows for performance and efficiency.
• Troubleshoot data-related issues and provide timely resolution.
• Stay updated with the latest Azure data services and technologies and recommend best practices for data engineering.

Qualifications:

• Bachelors degree in computer science, Information Technology, or related field.
• Proven experience as a data engineer, preferably in a cloud environment.
• Strong proficiency in SQL Azure for database design, querying, and optimization.
• Hands-on experience with Azure Data Factory for ETL/ELT workflows.
• Familiarity with Azure Databricks for big data processing and analytics.
• Experience with other Azure data services such as Azure Synapse Analytics, Azure Cosmos DB, and Azure Data Lake Storage is a plus.
• Solid understanding of data warehousing concepts, data modeling, and dimensional modeling.
• Excellent problem-solving and communication skills.

Regards,

Infosys BPM