1 day ago
Toronto, CanadaEntry Level
Responsibilities
- Build new features for the Oracle data pipeline service and improve its software architecture.
- Debug data replication issues by analyzing code used by hundreds of customers and supporting large Oracle clusters.
- Analyze new Oracle releases and develop compatible supporting features.
- Maintain and improve existing connectors, code, and infrastructure.
- Help move a high-performance client-side service to the cloud and operate it at scale.
- Develop software designs, define project requirements, and contribute to the team’s technical roadmap.
Requirements
- At least 1 year of programming experience in Java or C.
- Ability to write well-structured, performant code and improve previously written code.
- At least 1 year of experience working in a cloud environment using technologies such as AWS, GCP, Docker/Kubernetes, or CircleCI.
- At least 1 year of infrastructure-as-code experience using Docker/Kubernetes, AWS CloudFormation, Terraform, Google Cloud Deployment Manager, or equivalent.
- Understanding of high-performance systems, software and infrastructure design, and analytical approaches to identifying design flaws.
- Ability to understand customer requirements, break problems into engineering tasks, and work in large distributed teams.
- Preferred experience with database internals, connectors, advanced Java development, and setting up or tuning production Oracle RDBMS.
Benefits
- Contract position based in Toronto with a hybrid work model including two days in the office each week.
- Employer-paid medical insurance, subject to country and worker-type variations.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, parental leave, holidays, a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company virtual events, free food, team-building activities, and a monthly cell phone stipend.
- Access to a mental health support platform offering therapy, coaching, and mindfulness resources for employees and dependents.
Tech Stack
Categories
BackendData Engineering
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.