Data & Analytics Engineer

Foot Locker is a sports and lifestyle retail company seeking an experienced Data & Analytics Engineer to build enterprise data platform components and products. The role focuses on developing ETL and ELT pipelines, data catalog integrations, Power BI dashboards, data standards, and scalable support for machine learning models in collaboration with data and product teams.

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

Preferred

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

Python programming

Scala programming

Dimensional modeling

Data marts

Star schema

Snowflake schema

Database normalization

SCD Type 2

Databricks

Snowflake

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

100% REMOTE, US Based

Company

Athletic footwear and apparel retailer

New York, New York, USA

http://www.footlocker-inc.com/

Founded in 1974

10001+ employees

Qualifications

Bachelors Degree in Computer science or related field

Atleast 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

Experience with one or more Reporting/Dashboarding tool

Demonstrated experience with agile scrum methodology

Must possess well-developed verbal and written communication skills

Public cloud experience, preferably Azure or AWS

Previous experience at a fortune 500 company

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required

The successful candidate will have a high degree of motivation, exceptional attention to detail, and the ability to derive answers from communications with multiple parts of the business

This person will also require the ability to work well within a team atmosphere and has the flexibility to help with a variety of the department goals

Bachelor's degree (B. S.) from a four-year college or university; or Associate degree in programming from a technical college; and 3-5 years related experience and/or training; or equivalent combination of education and experience

The candidate must be able to communicate with others in a simple, clear, and understandable manner

Must also have the ability to read and interpret all forms of communication

The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required

The candidate must effectively plan and execute unusual and difficult work

Takes initiative and is decisive and quick, when appropriate

Must have the ability to solve practical and impractical problems and deal with a variety of concrete variables in situations where only limited standardization exists

Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form

Deals constructively with conflict and disagreement

While performing the duties of this job, the employee is regularly required to sit and talk or hear

The employee must regularly lift and/or move up to 10 pounds

Specific vision abilities required by this job include close vision, and ability to adjust focus

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

Required skills

ETL/ELT Pipeline Development, Power BI, Data Warehousing, Business Intelligence, Advanced SQL, Python, Scala, Dimensional Modeling, Databricks, Snowflake, Agile/Scrum, Microsoft Azure or AWS

Preferred skills

Experience with Databricks and/or Snowflake is a big plus

Experience

3+ years