Senior Software Engineer - Databases
Fivetran
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re seeking an enthusiastic Senior Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our data pipeline services.
This is a full-time, hybrid position based out of our Toronto, ON office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Java
NoSQL databases: MongoDB, Amazon DynamoDB, Azure Cosmos DB
Relational databases: IBM Db2, CockroachDB
AWS, GCP, Azure
Bazel, Docker, Kubernetes, Github
What You’ll Do
Write and deliver code reliably, along with automated tests (unit and integration)
Break down project work into tasks with effort estimates
Give and receive feedback through code reviews
Independently create technical designs for new features and actively seek feedback
Write common components to be used within the team or department
Mentor other engineers on improving all aspects of their code, according to established coding practices
Collaborate daily with team members to develop new features and improvements while minimizing technical debt
Resolve customer issues in collaboration with customer support
Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring
Skills We’re Looking For
Expertise in Java development
Experience developing reliable software with high-volume data management under strict SLAs
Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)
Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)
Knowledge of and appreciation for clean code practices
Ability to troubleshoot problematic code and identify root cause(s)
Optional Bonus Skills
Experience working with change data capture for MongoDB, Amazon DynamoDB and/or IBM Db2
Experience developing data integration tools (ETL or ELT)
Experience identifying and optimizing performance bottlenecks in distributed systems
This role is a backfill for an existing position and offers an opportunity to step into a well-established team and make an immediate impact.
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