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Data Engineer

Nivel no indicadoofficeTallinn, EE →hace 1 sem.
Análisis del mercado
📊 Data Engineering: salarios y demanda en el mercado
Stack
airflowathenaawsclouddbtglueicebergpythonredshifts3sql
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Descripción

About the team Data Engineering owns Veriff's analytical data platforms: a Data Warehouse (AWS Redshift, dbt, Airflow, Cube) and a Data Lake (S3, Glue, Athena) running across EU and US regions. We serve analysts, data scientists, ML, and product teams. We are a small, senior team based mostly in Tallinn.

Because Veriff handles identity data, our job is to make data easy to use while keeping it secure, compliant, and cost-efficient. The opportunity We are moving towards a governed lakehouse that teams can use self-service. You will join our Data Engineering team and work closely with senior engineers.

Your initial focus will be governance across both platforms: access control, handling of personal data, data lifecycle and deletion, and platform cost. You will own projects end-to-end, with support and mentoring from the team. What you'll achieve in your first 3 months Learn how Veriff works and how data flows from our product into the Data Lake and Data Warehouse Get comfortable with our architecture and tooling, and ship your first changes to production Start your first project in data governance or cost optimization What you'll achieve by 6 months Deliver your first project end-to-end Help keep Data Warehouse costs flat or lower through query and compute tuning Become a go-to person for data governance across the Data Lake and Warehouse

What you'll bring
  • essential Experience building and running production data pipelines Strong SQL and Python Hands-on experience with a clou
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