Walkin For "Azure SQL+SSIS/ADF " at Bangalore on 6th Feb.

EXCLUSIVE MEGA Walk in drive for "Azure SQL+SSIS/ADF" at Bangalore Location on 6th Feb 2025

Greeting from Infosys BPM Ltd.,

You are kindly invited for the Infosys BPM: MEGA Walk-In Drive on 6th Feb 2025 at Bangalore.

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?jobReferenceCode= PROGEN-HRODIRECT- 205588

Interview Information:

• Interview Date:6th Feb 2025
• Interview Time: 10:00 Am till 01:00 PM
• Interview Venue - Bangalore:

Infosys BPM Limited., #785, Ground Floor Axis Sai Jyoti, 15th Cross 100 Feet Road, Sarakki,
1st Phase. J P Nagar, Bengaluru, Karnataka 560078. Landmark: Near Sindhoor Convention
Centre (NOTE: No Candidate parking facility will be available at the location).

Documents to Carry:

• Please carry 2 set of updated CV (Hard Copy).
• Carry any 2 photo Identity proof (PAN Card/Driving License/Voters ID card/Passport).
• All education documents need to be available for verification. (10th, 12th, Graduation (Sem Wise Marksheet, CMM. Provisional and Original Degree)

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.

Thanks & Regards

Infosys BPM Ltd.