Remote, US
Category: Technology
- Innovative Technology; High Quality Products, Self-Empowerment
- Globally Responsible; Sustainable Products, Diversity of Thought
- Celebration of Sports; If You Have a Body, You are an Athlete
Title: Data Engineer - Lead
Location: Remote, US
Duration: 3 months contract
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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHAT YOU WILL WORK ON
- Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy.
- Documents and communicates database design. Evaluates and installs database management systems.
- Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports.
- Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environment.
- Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application.
- At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.
- Typically requires a Bachelors Degree and minimum of 8 or 9 years directly relevant work experience
WHAT YOU BRING
- Expertise designing, implementing and optimizing big data pipelines and architectures
- Mastery of tools like Spark, Kafka, Airflow, SQL, etc.
- Ability to lead projects and mentor junior engineers
- Outstanding communication, collaboration and creative problem-solving skills
- Commitment to quality, security and scalability
- Excitement about the future of data and analytics