Vacancy for Computer Science Graduates at Nike

Overview:

Nike is hiring an experienced DATA ENGINEER – ED&A at their Bangalore location. 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.

The complete details of this job are as follows:-

Roles and Responsibilities:

The Ideal candidate should be able to:

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.

Eligibility:

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

To Apply for this Job, Visit Official Website

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