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Responsibilities
Responsibilities
- Lead technical support and escalation for complex data analytics application issues
- Troubleshoot large-scale data processing problems involving volume, performance, data quality, configuration, and transformation logic
- Investigate issues across Azure data services, Databricks, PySpark, SQL Server/DWH, ADLS, Delta, and Parquet
- Diagnose ETL, reporting, dataset upload, and data movement issues across cloud-based platforms
- Use advanced T-SQL skills to analyze, tune, and resolve production data issues
- Create reusable troubleshooting assets, including runbooks, query packs, diagnostics, and support documentation
- Coach analysts and partner with engineering/product teams to drive root-cause closure
- 8 years of experience in application support, technical lead, data platform support, or production troubleshooting roles
- Strong hands-on experience with Azure data engineering and Python
- Working knowledge of Databricks and PySpark
- Strong T-SQL / data warehouse background, including stored procedures, functions, execution plans, indexing, CTEs, temp tables, and performance tuning
- Experience troubleshooting large datasets, data pipelines, ETL workflows, and reporting issues
- Strong understanding of relational database concepts and modern data platform support
- Excellent communication skills with the ability to explain complex technical issues clearly
- Azure Data Factory experience
- ADLS file format expertise: Parquet/Delta vs. CSV/Excel
- Power BI, Alteryx, or advanced Excel
- MSBI / SSIS background
- ERP data experience with SAP or Oracle
- Basic accounting or financial dataset knowledge