Data Engineers

Overview

This data engineer will play a pivotal role in constructing the data processing pipelines that drive our proprietary brands and key partnerships. As a member of this team, you will contribute to the development of a Homogenized Multi-Tenant Data Warehouse. Your primary responsibility will involve hands-on tasks to transform existing data from diverse enterprise systems into a unified data platform housing robust datasets ready for analytics and reporting.

This entails mastering upstream processes, pipelines, and source systems. You will collaborate with various functional units to ensure the successful deployment, operation, and maintenance of solutions.

• Transform data from diverse enterprise systems into a unified data platform for analytics and reporting.
• Develop and maintain data processing pipelines and upstream processes.
• Collaborate with functional units to ensure successful deployment, operation, and maintenance of solutions.

• 4-6 years of data engineering experience; SQL expert
• 2+ years of experience with AWS
• 2+ years of experience with Spark/Spark
  
  SQL using Scala/Python to build and maintain complex ETL pipelines
• 2+ years of experience with Databricks
• Experience with Git Hub and CI/CD processes
• Strong communication and business acumen
• Experience providing operational support for production data pipelines and data triaging (High Touch)
• Fivetran
• Digital Marketing background

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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