AWS/GCP Data Engineer – ETL Pipeline & Campaign Analytics

What You’ll Do

Design & Build ETL Pipelines: Develop automated data ingestion pipelines from multiple DSP APIs and raw log exports into a central data warehouse (BigQuery or Redshift).

Data Modeling: Structure campaign, finance, and reconciliation data for analytics-ready use cases.

Automation & Orchestration: Use Airflow, dbt, or similar to schedule and manage workflows.

Dashboards & Reporting: Enable BI tools (Looker, Tableau, or equivalent) to visualize campaign KPIs, finance reports, and margin analysis.

Data Quality & Governance: Implement monitoring, validation, and reconciliation processes to ensure data accuracy.

Cloud Architecture: Advise on the best-fit cloud infrastructure (AWS vs GCP) for scalability, security, and cost efficiency.

What We’re Looking For

Proven experience with AWS (Redshift, Glue, Lambda, S3, Athena) or GCP (BigQuery, Dataflow, Cloud Functions, Cloud Storage).

Strong background in building ETL/ELT pipelines with tools like Airflow, dbt, Step Functions, or Dataflow.

Proficiency in SQL and Python for data manipulation and integration.

Experience working with DSP APIs or ad tech data pipelines is highly desirable.

Knowledge of financial reconciliation and margin analysis workflows a plus.

Strong communication skills – ability to translate technical infrastructure into business outcomes.

Why Join Us?

Work on a greenfield project with direct impact on how we scale our platform.

Flexibility to choose the best-fit stack and influence long-term data architecture.

Collaborate with a small, innovative team passionate about disrupting the programmatic space.

Potential for long-term engagement as we expand our tech stack.

???? If you’re a data engineer with a track record of building scalable pipelines and love turning raw data into actionable insights, we’d love to hear from you.

Please apply with your resume, portfolio of past projects, and availability.