Senior Data Engineer

Yesterday

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Grafana Labs

WebsiteLinkedInAll Job Openings

Monitoring • Observability • Dashboards

501 - 1000 employees

Founded 2014

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Description

• Maintain frameworks and systems to acquire, validate/cleanse, and load data into analytics systems. • Develop machine learning pipelines for internal predictive models. • Engage across many company areas including finance, revenue, and analytics teams. • Build and maintain production quality data pipelines between operational systems and BigQuery. • Implement data quality and freshness checks for accuracy and consistency. • Create documentation for data engineering processes and workflows. • Troubleshoot and resolve 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