Nike India | Jobs | Data Engineer | BigDataKB.com | 29-03-22

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Job Location: Bangalore/Bengaluru

WHAT YOU BRING

  • Bachelor s Degree in computer science

  • Able to quickly pick up new programming languages, technologies, and frameworks

  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

  • Has a strong problem solving and analytical mindset

  • Strong understanding of solution and technical design

  • Strong understanding of data structures and algorithms

  • Has a passion for data solutions In-depth knowledge of scalable cloud

  • Experience with workflow scheduling tools such as Airflow

  • Experience with source control tools such as GitHub and related dev process

  • Experience with scripting languages such as Shell, Python Experience with relational SQL

  • Experience building data lake solutions leveraging one or more of following AWS, EMR, S3, Hive Spark

  • 2+ years experience developing Data Analytic solution

  • ABOUT THE ROLE

    Nike has embraced big data technologies to enable data-driven decisions. As Data Engineer, you will work with a variety of talented Nike teammates and be a driving force for building first-class solutions for Enterprise Data and Analytics. The ideal candidate will have programming experience, big data skills, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.

    WHAT YOU WILL WORK ON

  • Design and build simple (non – complex) reusable components of larger process or framework to support analytics products with guidance from experienced peers.

  • 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.

  • Analyze and profile data for the purpose of designing scalable solutions.

  • Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues.

  • Apply Here

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