Manager – Data Engineering

ScatterPie Analytics Private Limited; Pune District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading data analytics firm based in Pune, India is seeking an experienced Project Manager in Data Engineering to lead end-to-end project delivery across AWS and Azure environments. The ideal candidate will have 7-10 years of experience in data engineering and project management, with a strong emphasis on managing client relationships and delivering data pipeline projects. Key responsibilities include gathering requirements, designing scalable data solutions, and collaborating with internal teams to ensure successful project execution. This is an exciting opportunity to work with modern data technologies in a dynamic environment.

Qualifications

• 7–10 years of total experience in data engineering and project delivery.
• Client-facing experience with strong communication skills.
• Proven track record of managing data projects from initiation to delivery.

Responsibilities

• Lead multiple data engineering projects across AWS and Azure environments.
• Gather client requirements and develop delivery roadmaps.
• Design scalable data pipelines and ensure successful implementation.

Skills

Project Management

Data Engineering

Client Engagement

Communication Skills

Agile Methodologies

Tools

AWS Glue

AWS Redshift

Talend

Apache Airflow

DBT

JIRA

Trello

MS Project

Job description

Bringing data closer to people. ScatterPie Analytics is a company focused on modernizing data analytics through the implementation of technologies that companies need today to succeed in the market. We bring together the best of open source and blend with the best of enterprise tools to build intelligence that is powerful, cost-effective and flexible.

Job Description

Role Summary:

We are looking for an experienced and hands‑on Project Manager in Data Engineering who can lead the end‑to‑end delivery of data pipeline projects across Azure and AWS environments. The ideal candidate will bring strong technical depth in data engineering along with client‑facing and project execution capabilities.

Key Responsibilities

• Lead and manage multiple data engineering projects across Azure and AWS ecosystems.
• Gather client requirements and translate them into technical specifications and delivery roadmaps.
• Design, oversee, and ensure successful implementation of scalable data pipelines, ETL processes, and data integration workflows.
• Collaborate with internal data engineers, BI developers, and client stakeholders to ensure smooth project execution.
• Ensure adherence to timelines, quality standards, and cost constraints.
• Identify project risks, dependencies, and proactively resolve issues.
• Own the client relationship from initiation to delivery – conduct regular check‑ins, demos, and retrospectives.
• Stay updated on emerging tools and best practices in the data engineering space and recommend their adoption.
• Lead sprint planning, resource allocation, and tracking using Agile or hybrid methodologies.

Requirements

• 7–10 years of total experience in data engineering and project delivery.
• Working knowledge of AWS data tools such as Glue, Redshift, S3, and Lambda functions.
• Good understanding of data modeling, data warehousing, and pipeline orchestration.
• Experience with tools such as Talend, Airflow, DBT, or other orchestration platforms is a plus.
• Proven track record of managing enterprise data projects from requirement gathering to deployment.
• Client‑facing experience with strong communication and stakeholder management skills.
• Strong understanding of project management methodologies and tools (e.g., JIRA, Trello, MS Project).