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Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain stable, scalable data pipelines for marketing analytics and targeting, handling both streaming and batch workflows.
Implement and uphold data quality checks, monitoring, alerting, and documentation within an established framework and enterprise-wide data dictionary.
Collaborate on onboarding new data sources, troubleshoot pipeline issues, participate in code reviews, and follow standard software engineering practices under senior engineers' guidance.
Minimum Requirements
Minimum 2+ years working proficiency with SQL.
Working proficiency with Python; experience or strong aptitude for PySpark on Databricks.
Experience building and maintaining data pipelines in production or production-like environments, with knowledge of distributed processing (Spark, Hive, Hadoop) concepts.
Familiarity with CI/CD concepts and tooling; understanding of version control, testing, and agile workflows.
Ideal Candidate Profile
Comfortable working under technical direction with progressive ownership of data engineering solutions.
Able to collaborate effectively within distributed, cross-functional teams focused on marketing technology.
Technically adept with strong troubleshooting skills and experience in production data environments, preferably with exposure to Databricks and CI/CD tools.