About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer. In this role, you will have a significant impact on our data analytics systems by building and maintaining frameworks that ensure reliable data acquisition, validation, and loading. As part of a collaborative team, you will lead the development of machine learning pipelines and enhance our current tech stack, impacting various stakeholders including finance and analytics teams. This position encourages innovation and values self-starters eager to solve complex challenges while supporting global remote collaboration.

Requirements

  • Software development skills in Python, Java, Scala, or Go.
  • High proficiency in SQL.
  • Experience with data ingestion pipelines and workflow orchestration systems.
  • Knowledge of dbt or similar data transformation tools.
  • Highly motivated self-starter with problem-solving abilities.
  • Excellent communication skills for cross-functional collaboration.

Responsibilities

  • Build and maintain production quality data pipelines between operational systems and BigQuery.
  • Implement data quality checks and monitoring processes for data accuracy.
  • Contribute to our ingestion framework utilizing various data load tool connectors.
  • Create and maintain comprehensive documentation for engineering processes.
  • Monitor and ensure observability of internal data pipelines.
  • Troubleshoot and resolve data pipeline issues.
  • Align source and staging layers in dbt systems to efficiency and availability standards.
  • Investigate and implement event-driven data movements and transformations.
  • Explore and implement analytic data storage formats.

Benefits

  • Fully remote work with a global culture.
  • Career growth pathways and defined development opportunities.
  • Open communication and transparency within teams.
  • Autonomy to innovate and contribute meaningfully.
  • In-person onboarding for new hires.
  • Global annual leave policy with 30 days off and dedicated shutdown days.
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