Data Engineering Lead

• 9+ Years of Implementation experience on time-critical production projects following key software development practices
• 8+ years of programming experience in Python/Scala
• 6+ years of hands-on programming experience in Spark using scala/python
• 4+ years of hands-on working experience with Azure services like:
  
• Azure Databricks
• Azure Data Factory
• Azure Functions
• Azure App Service
• Good knowledge in writing SQL queries
• Good knowledge in building REST API's
• Good knowledge on tools like Azure Dev Ops & Github
• Ability to understand the existing application codebase, perform impact analysis and update the code when required based on the business logic or for optimization
• Ability to learn modern technologies and be part of fast paced teams
• Proven excellent Analytical and Communication skills (Both Verbal and Written)
• Proficiency with AI-powered development tools such as GitHub Copilot or AWS Code Whisperer or Googles Codey (Duet AI) or any relevant tools is expected. Candidates should be adept at integrating these tools into their workflows to accelerate development, improve code quality, and enhance delivery velocity.

Expected to proactively leverage AI tools throughout the software development lifecycle to drive faster iteration, reduce manual effort, and boost overall engineering productivity