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Job Description

WHO YOU'LL WORK WITH

A senior data engineer 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 ARE WE 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 -


  • Bachelors degree in Computer Science engineering


  • 5+ years of hands on experience in data engineering field


  • In depth big data tech stack knowledge


  • Expertise in pyspark, sql and data modelling


  • Expertise in databricks, snowflake, EMR, airflow


  • Pipeline design and architectural skillset


  • Knowledge on performance tuning of big data pipelines


  • Excellent written and verbal communication skills


  • Mentoring and guiding skills


WHAT YOU'LL WORK ON

As a senior data engineer you'll be a key pillar of the data engineering team. You'll be driving the overall design of data pipelines and 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


  • Contribute towards the design and architecture of overall data landscape at Nike


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


  • Collaborate with engineering leadership to define and implement observability metrics across data pipelines


Job Details

Job Location
India
Company Industry
Other Business Support Services
Company Type
Unspecified
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified

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