Bounteous14d ago

Database Engineer

Canada·Montréal,Montreal,QuébecFull Timemid

Data ScienceDatabase EngineerData & AI

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Quick Summary

Technical Tools

Data ScienceDatabase EngineerData & AI

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.

This team supports front-office trading, reference data, finance, and risk.
The platform is built on Oracle (ODS and MSWM) with supporting systems including Sybase, DB2, KDB, Greenplum, Hadoop, and MongoDB. The team also supports BI tools such as Business Objects, QlikView, and Tableau.

Key Responsibilities

Database engineering and support for global trading applications
Database architecture, schema design, SQL development, and performance tuning
Capacity planning, maintenance, and ETL pipelines
Database release support, deployments, and on-call production support
Proof-of-concept evaluations, coding, testing, and continuous improvements
Collaboration with global teams and support multiple business lines

Required Technical Skills

5–10 years of experience with relational databases (strong focus on DB2 Linux or Sybase)
Strong SQL, stored procedures, and query optimization skills
Database performance tuning, indexing, statistics, memory management
Scripting experience in Perl / Python / Unix / K-Shell

Good to Have

Greenplum exposure
Familiarity with Datalakes / Hadoop
Experience in finance domain
Exposure to CI/CD tools

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