Azure Data Engineer
Azure Data Engineer (Full-time / Local or Nearby resources required) Candidate Preference: This team operates on a onsite schedule out of our Diamond Bar, CA facility. To ensure seamless in-person collaboration and team alignment, we are seeking local or nearby Greater Los Angeles/Inland Empire-based candidates.
Responsibilities:
Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks.
Architect and manage secure enterprise cloud storage, including ADLS Gen2, Delta Lake, and relational/NoSQL databases.
Ingest and process both high-volume batch data and real-time streaming workloads.
Optimize database queries, PySpark jobs, and data pipeline performance to minimize execution time and cloud costs.
Collaborate with BI and analytics teams to model dimensional data marts (Star/Snowflake schemas) for reporting.
Implement data governance, automated data quality validation, and end-to-end lineage tracking (e.g., via Microsoft Purview).Secure data pipelines and storage using Azure Role-Based Access Control (RBAC), Key Vaults, and encryption standards.
Automate infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices.