Description

Own and lead technical support for complex data analytics solutions serving global users.

This role is on-site.

Responsibilities

• Resolve complex incidents involving large datasets, heavy transformations, and performance bottlenecks.
• 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 technical lead for challenging cases involving large-scale data processing.
• Manage Databricks workspaces and oversee end-to-end ETL pipeline troubleshooting.

Required Skills

• 8+ years of experience in application support, technical leadership, or data platform troubleshooting.
• 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.
• Experience with large-scale data wrangling and troubleshooting end-to-end ETL pipelines.
• Deep understanding of RDBMS concepts.

Preferred Skills

• Experience leading technical support for global user bases.
• Proven track record of implementing durable fixes for complex data issues.

Key Skills

Education

Any Graduate