Senior Java Data Engineering Developer

Bounteous • Montreal, QC

3d

About The Position

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

As part of this team, you will be undertaking a large-scale migration from on-premise data infrastructure — including Teradata and legacy tooling — to a modern, cloud-first data platform built on Databricks and Snowflake. As part of this engagement, consultants will embed directly with the client's engineering team, contributing hands-on to the migration, modernization, and optimization of enterprise-scale backend and data processing systems.

Requirements

• Strong hands-on Java development experience
• Experience with backend/distributed systems development
• Solid experience with ETL pipelines and data engineering
• Experience migrating on-prem platforms to cloud environments
• Hands-on experience with Databricks
• Experience with Snowflake or similar cloud data warehouse technologies
• Strong understanding of cloud-first and distributed data architectures
• Experience working in enterprise-scale environments
• Must be legally eligible to work in Canada.

Nice To Haves

• Experience with Teradata
• Experience with Spark / big data technologies
• Cloud platform experience (AWS, Azure, or GCP)
• Experience in financial services environments

Responsibilities

• Develop and maintain Java-based backend and data processing components
• Support migration of legacy ETL pipelines to cloud-native architecture
• Design, build, and optimize scalable data pipelines and services
• Collaborate with engineering and architecture teams on modernization initiatives
• Integrate modern cloud data technologies into the platform ecosystem
• Troubleshoot and improve performance of backend services and ETL workflows
• Participate in testing, deployment, and production support activities
• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed