Job Location: Bengaluru
WHAT WILL YOU WORK ON
- Designing and building reusable components, frameworks and libraries at scale to support analytics products
- Designing and delivering product features in collaboration with business and Technology stakeholders
- Proactively anticipating, identifying and solving issues concerning data management to improve data quality
- Clean, prepare and optimize data at scale for ingestion and consumption
- Drive the implementation of new data management projects and re-structure of the current data architecture
- Implement complex automated workflows and routines using workflow scheduling tools
- Build continuous integration, test-driven development and production deployment frameworks Drive and collaborate reviews of 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 complex data issues and perform root cause analysis to proactively resolve product issues
- Mentor and develop other data engineers in adopting best practices
WHO WILL YOU WORK WITH
- You will be reporting to the Engineering manager, you will work with Product Manager, other Engineering Team Members and with a variety of talented Nike teammates.
- You will be part of a team that will be a driving force in building Data and Analytic solutions for Nike Technology.
WHAT YOU BRING
- 8+ years experiencing developing scalable Big Data applications or solutions on distributed computing platforms
- Able to partner with others in solving complex problems by taking a broad perspective to identify innovative solutions
- Strong skills in building positive relationships across Product and Engineering.
- Strong experience working with distributed technology tools, including Spark, Presto, Scala, Python, Airflow
- Strong experience working with tools like, Dynamo DB, SQL, Amazon Redshift, and Snowflake
- Strong experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.
- Strong understanding of Data warehousing, Data modelling, Governance and Data Architecture
- Experience in Amazon Web Services (AWS) or other cloud platform tools
- Experience working with Big data compute platforms, including EMR, Data Bricks etc
- Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc. Experience working in Agile and Scrum development process
- Experience working in a fast-paced, results-oriented environment
- Ability to influence and communicate effectively, both verbally and written, with team members and business stakeholders
- Ability to quickly pick up new programming languages, technologies, and frameworks
- Bachelor’s degree in Computer Science, Information Systems, Business, or other relevant subject area NIKE, Inc. is a growth company that looks for team members to grow with it.
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