Data Engineer (MONGODB and Kafka)

This is a hybrid (on-site 3 days/week) role based in Montreal, Quebec.

We are seeking a Data Engineer to join the MongoDB and Kafka squad. We are a highly technical group delivering on multiple projects for multiple business areas in parallel. The business owners and subject matter experts are globally distributed, making strong communication skills important to the position. The Data Engineer will be expected to work closely with our IT partners in analyzing and delivering on business requirements.

Role and Responsibilities

• Designing, enhancing, and developing MongoDB databases and Kafka Clusters, occasionally across different database environments
• Considering all aspects of the project lifecycle, including proof-of-concept evaluations, coding, designing, testing, implementing, deploying, and continued support of project releases as well as on-call Level 2 support
• Infrastructure Engineering for stability, scalability, and capacity planning for some of the largest MongoDB and Kafka configurations on the financial industry
• Plan and execute database schema changes, bottleneck analysis, outage prevention/resolution, server/database performance improvements, database maintenance, database recovery
• Development of tools for Kafka and MongoDB
• Enforce database security, standards, and guidelines

• 3+ years of experience of Python
• 3+ years of experience with MongoDB and/or Kafka
• Basic knowledge of other databases is a plus
• Basic knowledge of Agile and Devops is a plus
• Experience with versioning tools such as git is a plus
• Proven ability to work collaboratively in teams
• Demonstrate integrity, ownership, and accountability
• Ability to work under time and resource dependencies and constraints
• Ability to find simple and effective solutions
• High degree of motivation to expand technical and business knowledge