Senior Data Engineer

Added
less than a minute ago
Type
Full time
Salary
Salary not provided

Related skills

bigquery sql python dbt airflow

📋 Description

  • Pipeline and Workflow Orchestration: Design and operate workflows with observability.
  • Data Modeling and Transformation: Design scalable transformations with dbt, BigQuery, Spark.
  • Data Quality and Platform Standards: Define data quality, contracts, lineage standards.
  • Handling Real-World Data Complexity: Manage incomplete, evolving data and schema drift.
  • Cloud and Infrastructure Integration: Work in cloud-native environments (GCP/AWS) with IaC.
  • Platform Improvement and Simplification: Improve observability and simplify architecture.

🎯 Requirements

  • 5+ years building and operating production data systems.
  • Strong Python and SQL; experience with data pipelines, orchestration, and warehousing.
  • Experience with data quality, observability, failure modes, and long-running workflows.
  • Strong communication and collaboration across engineering, product, and business teams.
  • Worked with Dagster, Airflow, or Prefect.
  • Experience with GCP, dbt, BigQuery, or event-driven architectures is a plus.

🎁 Benefits

  • Competitive compensation with equity
  • Ownership and impact on Avra’s data platform
  • Technical environment: real-world data problems
  • Lean, high-quality team with experienced engineers
  • Flexible culture: remote-first (Brazil) with autonomy
  • Flexible time off
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