Junior Data Engineer

About Welspun

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 1-2 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

Junior 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 flow and processingbr Collaborate with crossfunctional teams to understand data requirements and translate them into technical specificationsbr Maintain and enhance existing data platforms ensuring they are scalable reliable and securebr Utilize SQL to perform complex data analysis and extraction ensuring data accuracy and consistencybr Implement best practices for data management and governance to maintain high data quality standardsbr Work with Databricks to process and analyze large datasets providing insights that support business strategiesbr Troubleshoot and resolve datarelated issues ensuring minimal disruption to data operationsbr Continuously monitor and improve data pipeline performance identifying opportunities for optimization and automation

Key Interactions

Cross-Functional Collaboration

Experience

1

Competency Name

Competency Name Proficiency Level Business & Commercial acumenExpert EntrepreneurshipExpert Global Mind-setExpert People ExcellenceExpert SQLExpert ADFProficient Data BricksBasic PythonBasic

Additional Section (Can Be Added, If Required.

NA