Azure Data Engineer - ETL Pipelines & Monitoring
Qualifications
- Strong knowledge of Azure services: Data Factory, Databricks, Azure SQL, Spark SQL
- Understanding of ETL/ELT concepts, data ingestion patterns, and data warehousing
- Experience troubleshooting pipeline failures, cluster issues, performance bottlenecks
- Familiarity with Azure DevOps, Git version control, CI/CD pipelines
- Knowledge of monitoring tools (Azure Monitor, Log Analytics, Databricks logs)
EEOC Compliance
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.