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Job Description
Structured overview of role & requirementsAbout This Role
Architect and maintain scalable ETL pipelines integrating data from multiple marketing platforms to produce analytics-ready datasets.
Develop and optimize data models, manage Airflow workflows and dbt models, and ensure data quality through monitoring systems.
Collaborate with analysts and marketing stakeholders to deliver actionable insights impacting campaign performance, attribution modeling, and customer journey analytics.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
5+ years of experience in data engineering.
Expert proficiency in SQL and Python; 2+ years hands-on experience with Airflow and dbt.
Strong expertise in AWS data services and cloud infrastructure.
Ideal Candidate Profile
Experienced in translating complex business requirements into scalable, production-grade marketing data solutions.
Familiar with marketing data metrics such as attribution, campaign performance, or customer journey analytics.
Operates effectively in hybrid work environments supporting collaboration between engineering and marketing analytics teams.