Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or Information Technology., Five years of progressive experience in data engineering or a related field., Proficiency in big data technologies such as SQL, Spark, and Kafka., Experience with data pipeline design, data architecture, and data quality frameworks..

Key responsibilities:

Design and implement data products and features using Agile/Scrum methodology.

Collaborate with product owners and data analysts to optimize data solutions.

Build and implement distributed data processing pipelines and utilities.

Provide leadership and mentorship to other data engineers while resolving operational issues.

Job description

Lead Data Engineer - NIKE USA Inc. - Atlanta, GA. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology; contribute to overall architecture, frameworks and patterns for processing and storing large data volumes; evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing; drive the implementation of new data projects and the optimization of existing solutions; translate product backlog items into engineering designs and logical units of work; profile and analyze data for the purpose of designing scalable solutions; define and apply appropriate data acquisition and consumption strategies for given technical scenarios; design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem; build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns; implement complex automated routines using workflow orchestration tools; drive collaborative reviews of designs, code, and test plans; work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering standard methodologies are defined and followed; anticipate, identify and tackle issues concerning data management to improve data quality; build and incorporate automated unit tests and participate in integration testing efforts; utilize and advance continuous integration and deployment frameworks; solve complex data issues and perform root cause analysis; collaborate closely with Product team counterparts; work across teams to resolve operational & performance issues; provide work estimates and represent work progress and challenges; identify and remove technical bottlenecks for your engineering squad; and provide leadership, guidance and mentorship to other data engineers. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.

Must have a Bachelor’s degree in Computer Science, Engineering, Information Technology and five (5) years of progressive post-baccalaureate experience in the job offered or in a engineering-related occupation. Experience must include:

Big data system design;

SQL;

Spark;

Airflow

Python

Kafka

Change Data Capture implementation

Data Modeling

Data Architecture

Data Pipeline design

Spark Optimization

Data Security

Continuous Integration and Continuous Deployment

Data Quality framework

Data Observability

Apply at www.Nike.com/Careers (Job # R-60196)

LI#DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

Required profile