[Hiring] Data & Analytics Engineer @Foot Locker

Role Description

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 engineering experience around using tools building ETL, ELT Pipeline and Business Intelligence Dashboards.

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.
• Support and contribute to assigned POD’s at a 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

• Bachelors Degree in Computer science or related field.
• At least 3+ 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.
• Experience with Databricks and/or Snowflake is a big plus.
• Experience with one or more Reporting/Dashboarding tool.
• Demonstrated experience with agile scrum methodology.
• Must possess well-developed verbal and written communication skills.

Requirements

• Public cloud experience, preferably Azure or AWS.
• Previous experience at a fortune 500 company.

Benefits

• The annual base salary range is $100,000 - $105,000 / year.
• 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.