Data Engineer - Data Analytics | Fortune 500 Leading Global Organisation | 3-6 years (BB-9592D)
Found in: Neuvoo Premium IN
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 Fortune 500 Leading Global Organisation, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO ARE WE LOOKING FOR
Fortune 500 Leading Global Organisation has embraced big data technologies to enable data-driven decisions. We are looking a Data Engineer to keep pace. As Data Engineer, you will work with a variety of talented Fortune 500 Leading Global Organisation 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
Design and building 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
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 Fortune 500 Leading Global Organisation teammates. You will be part of team that will be a driving force in building Data and Analytic solutions for Fortune 500 Leading Global Organisation Technology.
WHAT YOU BRING
3+ years’ experience developing Data & Analytic solutions
Experience building data lake solutions leveraging one or more of following AWS, EMR, S3, Hive & Spark
Experience with relational SQL
Experience with scripting languages such as Shell, Python
Experience with source control tools such as GitHub and related dev process
Experience with workflow scheduling tools such as Airflow
In-depth knowledge of scalable cloud
Has a passion for data solutions
Strong understanding of data structures and algorithms
Strong understanding of solution and technical design
Has a strong problem solving and analytical mindset
Experience working with Agile Teams.
Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
Able to quickly pick up new programming languages, technologies, and frameworks
Bachelor’s Degree in computer science
NIKE, Inc. is a growth company that looks for team members to grow with it. Fortune 500 Leading Global Organisation 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 Fortune 500 Leading Global Organisation 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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