Quick Overview
Job Description
5+ years of experience in application support, technical leadership, or data-platform troubleshooting
Hands-on Azure data engineering and Python experience
Working knowledge of Databricks and PySpark, including notebooks, data transformations, and read/write operations
Advanced T-SQL and data warehouse skills, including stored procedures, functions, execution plans, indexing, and query optimization
Experience troubleshooting ETL pipelines, large datasets, data-quality issues, and performance or scalability bottlenecks
Understanding of RDBMS concepts, reporting flows, data movement, and production support practices
Strong incident ownership, root-cause analysis, stakeholder communication, and technical coaching skills
Preferred experience with Azure Data Factory, ADLS, Delta/Parquet, AKS, SSIS/MSBI, Power BI, Alteryx, ERP extraction concepts, and audit or accounting-related data .
Bachelor's degree in Computer Science, Information Systems, or a related field required.
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