Job Location: Bengaluru
Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s 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, its about each person bringing skills and passion to a challenging and constantly evolving game.
WHO ARE WE LOOKING FOR
Nike has embraced big data technologies to enable data-driven decisions.
We are looking a Lead Data Engineer to keep pace. As Lead 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 WILL YOU WORK ON
โข Design and build reusable components, frameworks and libraries at scale to support analytics data products
โข Design and implement product features in collaboration with business and Technology stakeholders
โข Anticipate, identify and solve issues concerning data management to improve data quality
โข Clean, prepare and optimize data at scale for ingestion and consumption
โข Drive the implementation of new data management projects and re-structure of the current data architecture
โข Implement complex automated workflows and routines using workflow scheduling tools
โข Build continuous integration, test-driven development and production deployment frameworks
โข Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards โข Analyze and profile data for the purpose of designing scalable solutions
โข Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
โข Mentor and develop other data engineers in adopting best practices
WHO WILL YOU WORK WITH
โข Work with product management to understand business requirements
โข Work with Engineering leadership and architecture teams to align on design, architecture and enterprise strategy
WHAT YOU BRING
โข 8+ Years experience of building big data solutions
โข Advanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, S3, Hive & Spark
โข Experience working in an agile and iterative landscape
โข Experience with relational SQL
โข Experience with scripting languages such as Shell, Python
โข Experience with source control tools such as GitHub and related dev process
โข Experience with workflow scheduling toolslike Airflow
โข In-depth understanding of micro service architecture
โข Strong understanding of developing complex data solutions
โข Experience working on end-to-end solution design
โข Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions
โข Willing to learn new skills and technologies
โข Have a passion for data solutions
โข Strong understanding of data structures and algorithms
โข Strong understanding of solution and technical design
โข Has a strong problem solving and analytical mindset
โข Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
โข Able to quickly pick up new programming languages, technologies, and frameworks NIKE, Inc. is a growth company that looks for team members to grow with it.
Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
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