Tech Stack

Description

As a Data Engineer on the Global Data Products team, you will build and maintain robust ETL pipelines, collaborate with data producers and stakeholders, and drive data quality and governance using cutting-edge technologies like Snowflake, Databricks, DBT, Spark, and Kafka.

Requirements

• Strong engineering fundamentals
• Proficiency in SQL and Python stack
• Strong problem-solving acumen
• Strong written and verbal communication skills
• Experience with Spark and data modeling preferred

Responsibilities

• Build and maintain complex scalable ETL pipelines
• Work closely with data producers and software developers
• Collaborate with stakeholders in Marketing, Product Analytics, etc.
• Drive data quality and governance
• Review technical implementations and improve deliverables