Data Engineer - Future Opportunity / Talent Pool
Core
Build scalable data pipelines, systems, and models to enable data-driven decision-making for global client engagements.
Role type
Data Engineer
Builds
Data pipelines, data models, ETL processes, dashboards, and visualizations
Domain
Digital marketing analytics and media technology
Deliverable
production ML models
Required skills
SQL, Python, R, SQL/NoSQL databases, Google Cloud Platform (GCP), Google BigQuery, ETL tools, Tableau, Looker, Google Looker Studio, Power BI, Datorama, Google Analytics, Adobe Analytics, DV360, SA360, Meta APIs
Preferred skills
AWS, Microsoft Azure, digital advertising attribution modeling, programmatic display/video tech, ad-serving pipelines, agency/consultancy client-facing experience
Technologies
GCP, BigQuery, Funnel.io, Tableau Prep, Tableau, Looker, Google Looker Studio, Power BI, Datorama, Google Analytics, Adobe, DV360, SA360, Meta
Responsibilities
Design and develop complex, scalable data pipelines; Architect scalable, reliable, and secure data solutions; Collaborate with cross-functional teams to gather requirements and ensure data quality; Develop and maintain data models, ETL processes, and data integration strategies; Design and implement data governance policies; Build dashboards, reports, and visualizations for stakeholders; Support junior team members in developing measurement frameworks and dashboard builds; Apply DataOps methods and agile delivery practices
Seniority
Mid-level, hands-on IC
