Data Service Engineer - CP Axtra

The Data Service Engineer ensures the reliability of enterprise data services by monitoring pipelines, investigating failures, and resolving integration issues. Responsibilities include managing ETL/ELT operations across Azure Data Factory and Databricks, handling incident response and root-cause analysis, and maintaining data quality. The role requires supporting stakeholders, documenting operational procedures, and driving continuous improvement through automation.

Monitor scheduled and event-driven ETL/ELT pipelines across Azure Data Factory, Databricks, Airflow, and related platforms.

Investigate failed jobs, delayed data, missing records, schema changes, and dependency issues.

Respond to data-service incidents and perform root-cause analysis.

Validate data completeness, accuracy, freshness, and reconciliation results.

Support users of reports, dashboards, and downstream data products.

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.

2–5 years of experience in data engineering, data operations, application support, or production support.

Hands-on experience supporting production data pipelines or data platforms.

Strong SQL skills and working knowledge of Python or another scripting language.

Experience with one or more orchestration or processing technologies such as Azure Data Factory, Databricks, Apache Spark, or Airflow.