Description

Own and lead technical support for complex data analytics solutions, resolving incidents related to large datasets, heavy transformations, and performance bottlenecks.

This role is on-site.

Responsibilities

• Guide support analysts and collaborate with engineering and product teams to drive root cause analysis and implement durable fixes.
• Troubleshoot and optimize data pipelines, platforms, and configurations across Databricks, SQL Server, and Azure data services.
• Serve as the escalation support technical lead for challenging cases involving large-scale data processing.
• Resolve complex incidents involving large datasets and performance bottlenecks.

Required Skills

• 8+ years of experience in application support, technical leadership, or data platform troubleshooting roles.
• Hands-on experience with Azure Data Engineering and Python programming.
• Proficiency with Databricks and PySpark, including workspace management and data transformations.
• Strong T-SQL skills, including database design, stored procedures, performance tuning, and advanced querying techniques.
• Experience with large-scale data wrangling and troubleshooting end-to-end ETL pipelines.
• Understanding of RDBMS concepts.

Key Skills

Education

Any Graduate