Data Engineer

Overview

Welspun World is one of India's fastest growing global conglomerates with businesses in Home Textiles, Flooring Solutions, Advanced Textiles, DI Pipes, Pig Iron, TMT bars, Stainless Steel, Alloy, Line Pipes, Infrastructure & Warehousing.

At Welspun, we strongly believe in our purpose to delight customers through innovation and technology, achieve inclusive & sustainable growth to remain eminent in all our businesses. From Homes to Highways, Hi-tech to Heavy metals, We lead tomorrow together to create a smarter & more sustainable world.

Job Purpose/ Summary

We are looking for a skilled Data Engineer with 2-4 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets in a cloud environment.

Job Title

Data Engineer

Job Description
We are looking for a skilled Data Engineer with 2-4 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets in a cloud environment.

Principal Accountabilities
Design develop and optimize ETLELT data pipelines using Azure Data Factory ADF to ensure efficient data processing and integrationbr Collaborate with crossfunctional teams to understand data requirements and translate them into technical specifications and solutionsbr Maintain and enhance existing data platforms ensuring they are scalable reliable and securebr Utilize SQL and Databricks to perform complex data analysis and support datadriven decisionmaking processesbr Work with large datasets in a cloud environment ensuring data quality and integrity are maintainedbr Demonstrate strong business and commercial acumen by aligning data engineering efforts with organizational goalsbr Foster an entrepreneurial mindset by identifying opportunities for innovation and improvement within data processesbr Exhibit a global mindset by considering the impact of data solutions on a diverse international user basebr Promote people excellence by mentoring junior team members and fostering a collaborative team environment

Key Interactions

Cross-Functional Collaboration

Experience

2

Competency Name

Competency Name Proficiency Level Business & Commercial acumenExpert EntrepreneurshipExpert Global Mind-setExpert People ExcellenceExpert SQLExpert ADFExpert Data BricksExpert PyskarkProficient

Additional Section (Can Be Added, If Required.

NA