Roles and Responsibilities
Act as the primary point of contact for the client for requirements, priorities, deliverables, and project coordination.
Conduct discussions with business and technical stakeholders to understand requirements and translate them into technical tasks and actionable deliverables.
Coordinate with Data Engineering, QA, and deployment teams to ensure smooth project execution. Track project timelines, deliverables, dependencies, risks, and issues and provide regular status updates.
Review existing Python scripts, Excel-based inputs/outputs, ETL processes, and data workflows and identify areas for product ionization and optimization.
Analyze business requirements and recommend best-fit technical solutions and approaches. Support data validation, UAT, issue resolution, documentation, and knowledge transfer.



Collaborate with technical teams to ensure requirements are implemented as per client expectations.
Identify potential project risks and dependencies and proactively communicate them to relevant stakeholders.
Ensure timely delivery of project milestones while maintaining quality and documentation standards.

Requirements
Robust Data Engineering, ETL, SQL & Python
Good AWS knowledge
Strong client/stakeholder management & communication
Experience in requirement gathering & project coordination
Exposure to Databricks / CI-CD / orchestration is a plus

Advantages Of Working With Us
Opportunities to work in Latest Technologies.
Challenging / Complex Development Projects.
Working with Large clients.
Solid Development & Delivery Processes.
Focus on Learning and Development.

📌 Senior Data Engineer Mumbai (India)
🏢 InnovationM
📍 India