About
Own and maintain data pipeline architectures, ensuring reliability and adherence to SLAs Manage and evolve data modeling environments, providing well-documented workflows for analysts and engineers Implement observability for data systems to monitor quality and detect issues early
Required qualifications
Proven experience in a data engineering or infrastructure role with production-grade pipelines Skilled in programming languages such as Python, with bonus experience in Go Deep experience with ETL/ELT pipelines and integrating disparate data sources into warehouses/lakes Familiarity with cloud data platforms, particularly AWS Experience with workflow orchestration tools like Airflow or Dagster
Languages
- English
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