Nike Data Engineer Global Converse ITC 

India, Karnataka, Bengaluru 

602028013

You will report to the Data Engineering Supervisor who is based at our Converse IndiaTech Center. You will work hand-in-hand with the data engineering squad, productplatforms. You will join a highly motivated, global team that will be a driving force inbuilding Data and Analytic solutions for the Converse Enterprise.

programming languages, technology concepts, and frameworks. They have strongproblem-solving skills and an understanding of data structures and algorithms. They

Experience with relational SQL and scripting languages such as Python
Experience with source control tools such as GitHub
Knowledge of scalable, cloud data solutions, preferably AWSMinimum 2 years relevant work experience
Bachelor’s degree or equivalent combination of education, experience or

As a Data Engineer on the Enterprise Data & Analytics team, you will drive work tocompletion with hands-on development responsibilities, and partner with the LeadEngineers to deliver quality components of a data product. You will build reusablecomponents of a larger data pipeline to support data analytics products with guidancefrom experienced peers, all while working within an agile framework that focuses ondelivering incremental value.

Design and build reusable components of a larger process or framework tosupport analytics products with guidance from experienced peers
and Technology stakeholders
Clean, prepare and optimize data for ingestion and consumption
Support the implementation of new data management projects and re-structure of the current data architecture
Implement simple automated workflows using workflow scheduling tools,such as Matillion or Brickflow
Understand and use current continuous integration, test-driven developmentand production deployment frameworks
Participate in design, code and test plan reviews to increase knowledge andapplication of best practices

Analyse and profile data for the purpose of designing components of ascalable solution
Troubleshoot straightforward data issues and perform root cause analysis to resolve product issues.