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.
Information Security Responsibilities
Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocolsIdentify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assetsUnderstand 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
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
Required Skills:
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
Nice to Have:
Experience with Teradata
Experience with Spark / big data technologies
Cloud platform experience (AWS, Azure, or GCP)
Experience in financial services environments