Senior Data Platform Engineer - Remote & BI-Driven

Foot Locker

United States

Remote

USD 125,000 - 130,000

Full time

2 days ago
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Benefits offered by this job

Employee Discount
Paid Time Off
Medical | Dental | Vision Coverage
401(k) | Roth 401(k)
Stock Purchase Plan
Life Insurance
Tuition Reimbursement for Qualified •

Job summary

Foot Locker, Inc. seeks an experienced Data & Analytics Engineer to build enterprise data platform components that support product development from multiple teams.

You’ll push engineering and innovation across Data Platforms, Architecture, Data Science and the product teams, using Azure, Databricks, Snowflake, Kafka and Power BI to craft scalable ETL pipelines and dashboards. You’ll help define data standards, grow the data catalog, and work in an agile environment to enable faster, better

Qualifications

  • Bachelor's degree in computer science or related field.
  • 5+ years engineering experience in data/analytics.
  • Strong knowledge of ETL tools and data warehousing.
  • Experience with Power BI or similar BI tools.
  • Advanced SQL and data modeling knowledge.

Responsibilities

  • Build and maintain enterprise Data & Analytics pipelines and products.
  • Grow the Data Catalog with diverse data sources.
  • Contribute to PODs in an Agile/Scrum environment.
  • Define data standards to enable better decision making.
  • Design and implement ETL/ELT solutions and troubleshoot issues.
  • Design Power BI datasets and dashboards with complex DAX.
  • Collaborate in cross-team guilds and document processes.

Skills

SQL
Python/Scala
Power BI
ETL Tools
Dimensional Modeling

Education

Bachelors Degree in Computer Science or related field

Tools

Databricks
Snowflake
Azure
Confluent Kafka

Job description

Foot Locker, Inc. seeks an experienced Data & Analytics Engineer to build enterprise data platform components that support product development from multiple teams.

You’ll push engineering and innovation across Data Platforms, Architecture, Data Science and the product teams, using Azure, Databricks, Snowflake, Kafka and Power BI to craft scalable ETL pipelines and dashboards. You’ll help define data standards, grow the data catalog, and work in an agile environment to enable faster, better

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