Staff Data Platform Engineering

Arcotech

Remoto
On-site
Develop and maintain data pipelines
Sql and/or python for data
Data ingestion, transformation, and consumption
Develop and maintain reliable and scalable data pipelines, ensuring quality, performance, and observability of executions

Job Summary

  • Develop and maintain reliable and scalable data pipelines, ensuring quality, performance, and observability of executions.
  • Collaborate with Analytics Engineering, SRE, and product teams to ensure data meets business needs and contribute to the evolution of the data platform as a product.
  • Arco offers benefits including meal/food assistance, health and dental plans, extended maternity/paternity leave, and childcare assistance.

Matching Summary

Develop and maintain reliable and scalable data pipelines, ensuring quality, performance, and observability of executions.

Skills & Requirements

Must-have

  • Develop and maintain data pipelines
  • SQL and/or Python for data
  • Data ingestion, transformation, and consumption
  • Workflow orchestration tools (Airflow, dbt, Dataform)
  • Cloud environments (GCP, BigQuery, Databricks)
  • Debugging data pipelines
  • Software engineering best practices

Nice-to-have

  • Data platforms at scale
  • Infrastructure as code
  • Data observability and quality
  • Cost and performance optimization
  • Data as a product
  • AI in development

Key Requirements

  • Experience with SQL and/or Python applied to data
  • Experience building and maintaining data pipelines
  • Experience with workflow orchestration tools
  • Experience with cloud environments (GCP, BigQuery, Databricks)
  • Ability to debug pipelines and analyze data problems
  • Knowledge of software engineering best practices

Work Rights

Not specified

Tailored Resume

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