Data Engineer
2 weeks ago
Position: Data Engineer (MONGODB and Kafka)
Location: Montreal, CA (Office attendance day 1 – Hybrid Mode, 3x per week)
Hybrid role: 3days days on site
Duration: Long Term
Role Profile:
• Development under agile methodologies,
• Candidates must therefore be able to work collaboratively, demonstrate good ownership and be able to work well in teams. Work will include designing, enhancing, and developing MongoDB databases and Kafka Clusters, and may occasionally require working across different database environments.
• The job will involve considering all aspects of the project life cycle and includes proof-of-concept evaluations, coding, designing, testing, implementing, deploying, and continued support of project releases as well as on-call Level 2 support.
Major Role & Responsibilities:
• Infrastructure Engineering for stability, scalability and capacity planning for some of the largest MongoDB & Kafka configurations on the financial industry
• DBA functions: plan & 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 & guidelines.
QUALIFICATIONS
Required Skills:
• 3-5 years of experience of Python
• 3-5 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
• Versioning tools such as git is a plus
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