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

- Strong 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

Benefits 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)
🏢 InnovationM
📍 Mumbai