Data Service Engineer
Core
Ensures reliability of enterprise data services by monitoring pipelines, investigating failures, and resolving data-quality issues to support reporting and analytics.
Role type
Data Service Engineer (Production Support)
Builds
Enterprise data pipelines and services for reporting, analytics, and downstream business processes
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT, data pipeline monitoring, root-cause analysis, incident management, data quality validation, stakeholder coordination
Preferred skills
Linux, shell scripting, Git, CI/CD, cloud monitoring tools, IT service management platforms
Technologies
Azure Data Factory, Databricks, Airflow, Apache Spark, Azure Monitor, CloudWatch, Grafana, Jira
Responsibilities
Monitor scheduled and event-driven ETL/ELT pipelines; investigate failed jobs and data quality issues; perform root-cause analysis and document resolutions; validate data completeness and accuracy; automate repetitive operational tasks; coordinate with cross-functional teams during incidents
Seniority
Mid-level, hands-on IC
