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ManpowerGroup is seeking a Data Engineer to join a data-driven team in Jersey City, NJ. The role focuses on building and optimizing data ingestion, transformation, and storage pipelines to support accessible and reliable data assets.
The candidate will work with Python and SQL, leverage Azure Data Factory, and collaborate with cloud data tools to deliver scalable solutions that align with organizational goals and data governance standards.
Our client, a leading organization in the data-driven industry, is seeking a Data Engineer to join their dynamic team. As a Data Engineer, you will be an integral part of the Data Engineering department supporting data collection, storage, and processing initiatives. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a collaborative spirit, which will enable you to thrive within the organization and contribute to innovative data solutions.
Job Title: Data Engineer
Location: Jersey City, NJ (3 days onsite every week)
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About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.