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Nike Hiring For Data Engineer Position Details:

About Company: Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services. The company is headquartered near Beaverton, Oregon, in the Portland metropolitan area.

Company name: Nike

Work Location: Bengaluru

Job Profile: Data Engineer

Experience Required: 2+ Yrs

Job Details for Nike Hiring For Data Engineer Position

Nike is looking for a Data Engineer – Enterprise Data & Analytics (ED&A)!

Responsibilities of the Candidate:

  • Design and build simple (non-complex) reusable components of a larger process or framework to support analytics products
  • Design and implement product features in collaboration with business and technology stakeholders
  • Anticipate, identify and solve issues concerning data management to improve data quality
  • Clean, prepare and optimize data at scale for ingestion and consumption
  • Support the implementation of new data management projects and re-structure of the current data architecture
  • Implement automated workflows and routines using workflow scheduling tools
  • Understand and use continuous integration, test-driven development and production deployment frameworks
  • Participate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues
  • Quickly pick up new programming languages, technologies, and frameworks


  • Bachelor’s degree in computer science
  • 2+ years of experience developing Data & Analytic Solution
  • Influence and communicate effectively, both verbally and written, with team members and business stakeholders
  • Strong problem solving and analytical mindset
  • Understanding of data structures and algorithms
  • Passion for data solutions and in-depth knowledge of scalable cloud
  • Experience with workflow scheduling tools such as Airflow and source control tools such as GitHub and related software development processes
  • Experience with scripting languages such as Shell, Python with relational SQL
  • Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive & Spark
  • Experience developing Data & Analytic solution.

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