This Role is 100% REMOTE

 

At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization.

 

 

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.  This role is 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 envolution 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

• Bachelors Degree in Computer science or related field
• Atleast 5+ years of overall Engineering experience in a Data and Analytics function
• Strong knowledge and experience working as a Data Engineer using industry standard ETL tools
• Strong knowledge and experience working as a BI Engineer using Power BI or equivalent BI tools
• Strong knowledge and experience with Datawarehouse and Business Intelligence
• Advanced SQL Programming skills
• Prior programming experience in Python or Scala around Data Engineering is a big plus
• Prior knowledge and experience in Dimensional modeling (Data Marts, Star/Snowflake, Normalization, SCD2) is a huge plus

 

At Foot Locker, we value innovation, authenticity, and integrity in all that we do.  To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments.  To ensure a smooth and secure experience, please review the following guidelines:

• Cameras must be on for all virtual interviews.
• AI tools are strictly prohibited during interviews or assessments.

We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.

Benefits

The annual base salary range is $125,000-130,000 / year. This range represents the anticipated low and high end of the salary for this position. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below.

Foot Locker Benefits:

• Employee Discount
• Paid Time Off
• Medical | Dental | Vision Coverage
• 401(k) | Roth 401(k)
• Stock Purchase Plan
• Life Insurance
• Flexible Spending Account
• Opportunities for Advancement
• Tuition Reimbursement for Qualified Courses
• Strong Company Culture
• Employee Resource Groups