Location: Toronto, ON
Onsite Flexibility: Hybrid 2 days per week onsite (Monday & Tuesday)
- Position Type: Contract
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Contract Duration: Until Sept 10th 2027
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Pay Rate: C$68.00 C$81.00 / Hour (CAD)
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Shift / Schedule: Monday to Friday, core business hours
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Travel Requirements: Not required
This is a Senior Data Engineer / Application Developer role on the Counterparty Credit Risk Team, providing maternity leave coverage for a 1-year term. The ideal candidate is a senior Scala/Data Engineer with 5 years of Scala and Spark, solid distributed data engineering experience, and Akka/Pekko exposure, ideally from a banking or capital markets background. A strong alternate profile is a Scala/Spark engineer with strong distributed systems experience who has at least basic Akka/Pekko knowledge and can quickly ramp up. The team is specifically migrating from Akka to Pekko, making Akka/Pekko experience one of the biggest differentiators for this role. The team consists of 15 developers operating in a collaborative, fast-paced environment.
- Develop and maintain architectures, such as databases and large-scale processing systems, to handle the collection, storage, and retrieval of large datasets.
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Collaborate with cross-functional teams to identify and prioritize data requirements, pipeline design, and data aggregation and transformation.
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Implement data privacy and security measures to ensure adherence to compliance standards and protection of sensitive information.
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Optimize data retrieval and develop dashboards, reports, and other visualization tools to present data insights to end-users effectively.
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Perform data analysis and troubleshooting to identify data-related issues and ensure data quality and integrity.
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Stay current with industry trends and advancements in data solutions to recommend and implement improvements to existing systems.
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Work with Business Systems Analysts (BSAs) to understand requirements.
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Troubleshoot bugs and production issues with BSA/support teams.
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Primarily work on the existing application codebase.
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Support the Akka Pekko migration.
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Perform Scala application development.
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Build/maintain data pipelines.
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SQL querying and data processing.
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Help develop APIs.
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Work with heavy risk-based financial data.
- Proficiency in SQL and experience with relational and non-relational database systems.
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Knowledge of data modeling and warehousing principles.
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Experience with big data tools (e.g., Hadoop, Spark) and data pipeline and workflow management tools (5 to 8 years).
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Strong analytical and problem-solving abilities to address data-related challenges.
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Familiarity with programming/scripting languages such as Python, Java, or Scala.
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Excellent communication and collaboration skills to work effectively with both technical and non-technical team members.
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AKKA/PEKKO 2 to 3 years.
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Scala experience 5 years.
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Strong Apache Spark / distributed data processing experience.
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Akka or Apache Pekko is a major requirement; the team is specifically migrating from Akka to Pekko, so candidates need at least foundational Akka/Pekko knowledge.
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Application development and building data pipelines/data-processing systems.
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Strong understanding of ETL processes.
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SQL/data engineering experience.
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API development experience.
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CI/CD experience.
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Docker and Kubernetes knowledge is beneficial.
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Capital markets / financial-services knowledge is an advantage.
- Databricks experience.
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Azure and/or Databricks experience is a plus.
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Databricks certification, or Spark/Scala certifications.
- Bachelor's degree in Computer Science, Information Technology, or a relevant field required.
- 8 to 10 years of overall experience.
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4 5 years of hands-on experience in the relevant technologies.
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Senior-level Scala/Data Engineering background; experience from banking or capital markets is strongly preferred.
- Candidate must be able to work from Toronto; no flexibility for other provinces.
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Hybrid schedule: 2 days per week onsite (Monday & Tuesday); core business hours, Monday to Friday.
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No overtime; no rotation.
- Interview process: 2 rounds 1st round is a virtual technical interview; 2nd round is in-person (behavioural/technical). Candidates may also be given a technical assessment after the 1st interview to complete within 24 hours.
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The biggest red flag for this role would be a candidate who is strong in generic data engineering but has no Scala and no Akka/Pekko exposure.
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Prioritized skill stack (in order): Scala Spark Akka/Pekko Application Development Data Engineering/ETL Distributed Systems Kubernetes/Docker Cloud/Azure/Databricks Capital Markets.
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Technical assessment/interviews will heavily evaluate: Scala, Akka/Pekko, Apache Spark, data engineering concepts, distributed data processing, and Kubernetes/development skills. Behavioural assessment will focus on collaboration/teamwork, communication, and problem solving.
- Medical, Vision, and Dental Insurance Plans
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401k Retirement Fund
This client is a leading financial services and banking institution operating across Canada and internationally, with a large technology and data engineering workforce supporting risk management, capital markets, and enterprise data platforms. The organization employs solutions developers, data engineers, application developers, release train strategists, and IT professionals who collaborate in agile, fast-paced environments across hybrid work models. With teams managing regulatory compliance, counterparty credit risk, and large-scale data processing systems, the bank employs thousands of technology professionals and consistently ranks among the largest financial institutions in North America.
GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.
Job Number: 26-11958 Industry: Information Technology
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