Foot LockerRemote
Sr. BI Engineer
United States of America
Full Time
3 weeks ago
$78,000 - $130,000 USD
No H1B
Key skills
PythonSQLNoSQLData EngineeringData WarehousingBIBusiness IntelligencePower BISnowflakeDatabricksSparkAWSAzurePostgreSQLAgileScrumCommunicationDecision MakingCollaboration
About this role
Foot Locker, Inc. is seeking an innovative 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 innovation through collaboration across our data science teams and business to help push Foot Locker, inc. to the next level.
Responsibilities:
- Build new data sets, and products helping support Foot Locker business initiatives
- Help grow our data catalog through ingestions of a variety of third party data sources, both internal and external
- Must be able to contribute to self-organizing teams with minimal supervision working within the Agile/ Scrum project methodology
- 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 modeling jobs to be more scalable when modeling across the entire data set
- 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
Requirements:
- Bachelors Degree in Computer science or related field
- Minimum 5 years of data engineering or Power BI engineering experience
- Extensive experience in data/semantic modeling (Data Marts, Star/Snowflake, Normalization, SCD2)
- Experience with RDMS (SQL, PostgreSQL), Data warehousing and Business Intelligence
- Experience with one or more Reporting/Dashboarding tool
- Advanced SQL programming skills
- Demonstrated experience with agile scrum methodology
- Strong desire to learn new technologies and keep up with the latest technologies in the big data space
- Must possess well-developed verbal and written communication skills
- Public cloud experience, preferably Azure or AWS
- Experience with Snowflake database, Spark, Databricks, Python and NOSQL is a plus
- Experience with enabling Data Science and Self Service product development with clean, reliable data sets