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Lead Data Engineer, Sustainability Analytics

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Technology
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00506516 Requisition #

WHO ARE WE LOOKING FOR
If you’re ready to innovate and create better decision making through data, come join the Enterprise Data & Analytics Technology team as a Lead Data Engineer supporting Sustainability Analytics. You will be part of an organization that is redefining Nike by engineering data and analytics solutions that are modern, flexible, and scalable.


WHAT WILL YOU WORK ON
As a Lead Data Engineer for Sustainability Analytics, you will lead all aspects of technical direction and drive to deliver work to completion with hands-on development responsibilities, as well as help build a culture of collaboration where every voice is heard. In this role, you will:

-  Design and build reusable components, frameworks and libraries at scale to support analytics products

-  Design and implement product features in collaboration with business and Technology partners

-  Anticipate, identify and tackle 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 collaborative 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

-  Solve complex data issues and perform root cause analysis to proactively resolve product and operational issues

-  Mentor and develop other data engineers in adopting standard methodologies


WHO WILL YOU WORK WITH
You will be part of an agile product team, working closely with the Product Manager to deliver data and analytics capabilities to Nike’s Sustainability organization. You will collaborate with business partners, as well as other technology solution delivery, architecture, and platform teams.

WHAT YOU BRING
Some combination of these qualifications and technical skills will position you well for this role:

-  Bachelor's degree in Computer Science, Information Systems or related field or equivalent work experience

-  6+ years of hands-on experience with large-scale data engineering with emphasis on analytics and reporting

-  Advanced experience building cloud scalable, real time and high-performance data lake solutions

-  Experience with relational SQL and Python

-  Experience with working with data pipeline orchestration systems such as Airflow, Oozie or AWS data pipeline

-  Experience with file formats including JSON, Parquet, and Avro

-  Experience developing solution within AWS Services framework (EMR, EC2, RDS, Lambda, etc.)

-  Experience with source control tools such as GitHub and related dev process

-  Understanding of micro service architecture

-  Proven experience working on end-to-end solution design

-  Proven ability to lead others in solving complex problems by taking a broad perspective to identify innovative solutions

-  Willing to learn new skills and technologies

-  Has a passion for data solutions

-  Solid understanding of data structures and algorithms

-  Strong understanding of solution and technical design

-  Has a strong problem solving and analytical mentality

-  Proven ability to influence and communicate effectively, both verbally and written, with team members and business partners

-  Demonstrated ability to quickly pick up new programming languages, technologies, and frameworks

-  Proven track record of working cross functionally

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