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.
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.
