Azure Data Engineer
Core
Troubleshoot data-platform issues, optimize ETL pipelines, and manage large datasets within an Azure environment.
Role type
Senior Azure Data Engineer (Application Support & Technical Leadership)
Builds
Production data pipelines, data warehouses, and reporting flows for diverse industry clients.
Domain
Cloud Data Engineering (Azure), Financial Services, and Enterprise Data Management.
Deliverable
Production ML models | product features | dashboards & analysis | infrastructure
Required skills
Azure data engineering, Python, Databricks, PySpark, T-SQL, data warehouse design, ETL pipeline troubleshooting, data quality management, performance optimization, incident ownership, root-cause analysis.
Preferred skills
Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI, Power BI, Alteryx, ERP extraction, audit/accounting data.
Technologies
Azure, Databricks, PySpark, T-SQL, Azure Data Factory, ADLS, Delta, Parquet, AKS, SSIS, MSBI, Power BI, Alteryx.
Responsibilities
Troubleshoot ETL pipelines and data-quality issues; optimize large dataset performance and scalability; execute root-cause analysis for incidents; provide technical coaching and stakeholder communication.
Seniority
Senior, hands-on IC with technical leadership responsibilities.