Job
Description
Greeting from Infosys BPM Ltd., You are kindly invited for the Infosys BPM: Walk-In Drive on 21st June 2025 at Pune. Note : Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please mention Candidate ID on top of the Resume Please use below link to apply and register your application.https://career.infosys.com/jobdesc?jobReferenceCod e = PROGEN-HRODIRECT-216785 Interview Information Interview Date: 21st June 2025 Interview Time: 10:00 Am till 01:00PM Interview Venu e: 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 Job Description: As an Azure Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure on the Azure platform. You will collaborate with cross-functional teams to develop robust data pipelines, optimize data workflows, and ensure data integrity and reliability. 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
