Overview
This role is REMOTE/Fully Virtual - Must be based in U.S.
Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you’ve come to the right place. To learn more about the incredible impact we’re making on both our local and global communities, Click Here!
Foot Locker, Inc. is seeking an experienced individual who has a proven track record of building enterprise level platform components to support product development from multiple teams and lines of business. You will be expected to drive engineering and innovation through collaboration across our Data Platforms, Data Architecture, Data science and our products team to help push Foot Locker, inc. to the next level. Our current Data & Analytics Platform technology stack comprises of cloud solutions (Microsoft Azure), Databricks, Confluent Kafka, Snowflake and Power BI. Ideal candidate is expected to have a engineering experience around using tools building ETL, ELT Pipeline and Business Intelligence Dashboards.
Responsibilities
This role will include, but will not be limited to the following responsibilities:
- Build new Data and Analytics products helping support Foot Locker business initiatives.
- Help grow our Data Catalog through ingestions of a variety of internal and third party data sources
- Must be able to support and contribute to assigned POD’s at an Data & Analytics engineering capacity with minimal supervision working within the Agile / Scrum project methodology
- Define data standards that will enable more efficient and effective decision making
- Design, Engineer and Implement ETL solutions and resolve technical issues
- Design Power BI datasets and dashboards, including complex DAX functions.
- Participate in a collaborative, peer review based environment fostering new ideas via cross team guilds / specialty groups
- Maintain comprehensive documentation around our processes / decision making
- Participate in the continuous evolution of our schema / data model as we find more data sources to pull into the platform
- Support our Data Scientists by helping enhance their machine learning models to be more scalable during training and model deployment
Qualifications
REQUIRED CHARACTERISTICS
- Bachelors Degree in Computer science or related field required
- 5 years minimum of overall Engineering experience in a Data and Analytics function required
- Strong knowledge and experience working as a Data Engineer using industry standard ETL tools required
- Strong knowledge and experience working as a BI Engineer using Power BI or equivalent BI tools (Tableau or MicroStrategy) required
- Advanced SQL Programming Skills Required
- Strong knowledge and experience with Datawarehouse and Business Intelligence required
- Experience with one or more Reporting/Dashboarding tool required
- Demonstrated experience with agile scrum methodology required
- Must possess well-developed verbal and written communication skills
DESIRED CHARACTERISTICS
- Prior programming experience in Python or Scala around Data Engineering is a huge plus
- Prior knowledge and experience in Dimensional modeling (Data Marts, Star/Snowflake, Normalization, SCD2) is a hug plus
- Experience with Databricks and/or Snowflake is a plus
- Public cloud experience, preferably Azure or AWS
- Previous experience at a fortune 500 company
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