Senior Data Engineer

3 days ago

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Grafana Labs

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Grafana Labs supports organizations’ monitoring, visualization and observability goals. 950,000+ active installations

Monitoring • Observability • Dashboards

501 - 1000

Description

• Maintain frameworks and systems for data acquisition, validation, and loading • Lead development of machine learning pipelines • Integrate frameworks with existing stack including GCP, BigQuery, dbt, etc. • Build and maintain production quality data pipelines • Implement data quality checks • Create documentation for data engineering processes • Troubleshoot data pipeline issues

Requirements

• Software development skills (some combination of Python, Java, Scala, Go) • High proficiency in SQL • Experience building and maintaining data ingestion pipelines using a workflow orchestration system (e.g. Prefect, Dagster, Airflow) • Working knowledge of MLOps best practices • Working knowledge of dbt or similar data transformation tools • Highly motivated self-starter that is keen to make an impact and is unafraid of tackling large, complicated problems • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success

Benefits

• equity • bonus (if applicable) • other benefits listed here