Nike, Inc. Logo

Nike, Inc.

Data Engineer I, ITC

Posted 11 Hours Ago
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Techno City, Sonarpur, South 24 Parganas, West Bengal
Entry level
Techno City, Sonarpur, South 24 Parganas, West Bengal
Entry level
The Data Engineer I will design and implement complex data pipelines to support Nike's data-driven strategies. Responsibilities include building and troubleshooting data pipelines, collaborating with other engineers and product managers, and ensuring data quality and reliability.
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WHO YOU’LL WORK WITH

A data engineer 1 will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports.

WHO WE ARE LOOKING FOR

In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike.

The core competencies required for this role include -

  • Bachelor’s degree in computer science engineering

  • 0-2 years of hands-on experience in data engineering field

  • In depth big data tech stack knowledge

  • Expertise in pyspark and SQL

  • Expertise in databricks, snowflake, airflow

  • Excellent written and verbal communication skills

WHAT YOU’LL WORK ON

As a data engineer you'll be a key pillar of the data engineering team. You will collaborate closely with other engineers to deliver key changes to data pipelines that drive Nike's data strategy

On a day-to-day basis, you'll focus on -

  • Building, enhancing, and troubleshooting complex data pipelines

  • Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines

  • Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines

  • Contribute towards the design and architecture of data pipelines

  • Implement data quality and reliability measures across data pipelines

Top Skills

Pyspark
SQL

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