Data Engineer ED&A, ICC, India
Company Name:-
Nike
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Become a Part of the NIKE, Inc.
Team
NIKE, Inc.
does more than outfit the worlds best athletes.
It is a place to explore potential, obliterate boundaries and push out the edges of what can be.
The company looks for people who can grow, think, dream and create.
Its culture thrives by embracing diversity and rewarding imagination.
The brand seeks achievers, leaders and visionaries.
At NIKE, Inc.
its about each person bringing skills and passion to a challenging and constantly evolving game.
From our flagship website and five-star mobile apps to social media, digital marketing and the retail store experience, our teams at NIKE Digital are reimagining how design and technology meet to serve consumers more directly and personally.
We invest in cutting-edge technologies and work with the most creative people in the world.
Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.
Nike is embracing Big Data technologies to enable data-driven decisions.
Were looking to expand our Big Data Engineering team to keep pace.
As a Data Engineer, you will work with a variety of talented Nike teammates and be a driving force for building solutions for Nike Technology.
You will be working on development projects related to consumer behavior, commerce, and web analytics.
To that end, you’ll,
WHAT YOU WILL WORK ONDesign and build simple (non – complex) reusable components of larger process or framework to support analytics products with guidance from experienced peersDesign and implement product features in collaboration with business and Technology stakeholders
Anticipate, identify and solve issues concerning data management to improve data qualityClean, prepare and optimize data at scale for ingestion and consumptionSupport the implementation of new data management projects and re-structure of the current data architectureImplement automated workflows and routines using workflow scheduling tools
Understand and use continuous integration, test-driven development and production deployment frameworksParticipate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standardsA
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