Data Engineering Lead

Primary Responsibilities:

• Collaborate with cross-functional teams to plan and execute the migration of users from Teradata to Snowflake/Databricks
• Analyze existing user roles, access patterns, and usage metrics in the legacy environment
• Design and implement equivalent user roles, permissions, and access controls in the target cloud platform
• Develop and convert ETL/ELT pipelines to support data migration and validation
• Ensure data security, compliance, and governance standards are maintained during migration
• Create documentation and provide training/support to end users post-migration
• Monitor and troubleshoot migration issues, ensuring minimal disruption to business operations
• Use AI tools like GitHub Copilot to accelerate code development 
  Leverage M365 Copilot and chat-based AI tools for meeting summarization, documentation, and debugging
• Use GenAI to generate test data, validate migration logic, and automate test case creation
• Document migration processes and create AI-assisted knowledge artifacts for future reuse
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• 6+ years of experience in Data Engineering
• 2+ years of extensive experience on Snowflake, Databricks
  • Hands-on experience on Github Copilot, AI tools