Overview In this role you drive data-platform reliability and technical leadership to support data-driven transformation for clients. You will work with cross-functional teams to troubleshoot and optimize data pipelines, ensuring quality and performance at scale. You'll apply Azure data engineering and Python skills to real-world data workloads, and mentor others in incident handling and root-cause analysis. The position offers a chance to influence production-ready data solutions within a mature, global services environment.
Responsibilities- application support and technical leadership
- troubleshoot data-platform incidents and production issues
- investigate root causes and implement fixes
- optimize ETL pipelines, data quality, and performance
- communicate findings to stakeholders and coach team members
- support data movement, reporting flows, and warehouse operations
Key requirements- 5+ years in application support, technical leadership, or data-platform troubleshooting
- hands-on Azure data engineering and Python experience
- Databricks and PySpark experience (notebooks, transformations, read/write)
- Advanced T-SQL and data warehouse skills (procedures, functions, execution plans, indexing)
- experience troubleshooting ETL pipelines, large datasets, data-quality issues, scalability bottlenecks
- strong incident ownership and stakeholder communication, technical coaching skills
- Bachelor's degree in Computer Science, Information Systems, or related field
- incident ownership
- stakeholder communication
- technical coaching
- Azure data engineering
- Python
- Databricks
