Finance jobs in United States

Synopsis of the role

As a Product Support Engineer within the Technical Fulfillment team, you’ll configure, operate and monitor our high-volume batch data delivery platform built on Google Cloud. You will play a key role in processing and enriching financial data for our clients, ensuring seamless and precise execution with a strong focus on quality and reliability gaining invaluable experience in a dynamic and evolving technological landscape.

What you will do

Platform Configuration and Operation:

• Configure and execute data processing workflows on our batch delivery platform according to established procedures and client specifications.

• Deploy and manage complex data pipelines orchestrated via Apache Airflow.

• Leverage and extend Standard Airflow DAG Templates to ensure deployment consistency and rapid iteration across environments.

• Monitor the execution of data processing jobs, identifying and addressing any issues to ensure timely and accurate delivery.

• Perform data quality checks and validation to ensure the integrity and accuracy of processed information.

• Diagnose and resolve complex configuration, scheduling, and dependency issues within the GCP platform and its associated infrastructure.

• Adhere to established security protocols and maintain the highest standards of data security and privacy in all configuration activities.

• Follow SDLC guidelines for any configuration deployments or changes.

• Maintain accurate records of configurations, processes, and any issues encountered.

• Stay up-to-date with platform updates, new features, and relevant technical information.

• Collaborate effectively with other team members, including configuration Specialists, and provide support as needed.

• Continuous Improvement and Documentation:

• Contribute to the identification of opportunities for process improvement and automation within the configuration workflows.

• Assist in the creation and maintenance of our configuration documentation and knowledge base articles.

• Participate in team meetings and contribute to discussions on process optimization and best practices.

Client Focus:

• Understand the importance of accurate and timely data delivery for our clients.

• Support the team in addressing client inquiries and resolving fulfillment-related issues.

• Take ownership of precise, high-stakes data configurations that directly impact client trust and business outcomes.

• Collaborate with cross-functional partners (including Engineering and Data Operations) to resolve issues and improve delivery processes.

What experience you need

• Bachelor's degree in computer science, information technology or equivalent.

• Strong analytical, detail-oriented, and proactive approach to problem solving.

• Familiarity with data processing concepts and batch delivery systems.

• Experience working with configuration files (e.g., YAML).

• Understanding of cloud computing concepts, ideally with some exposure to GCP.

• Familiarity with different file encoding formats.

• Experience with API tools for testing and understanding data interfaces.

• Basic scripting skills (e.g., shell scripting) are an asset.

• Excellent written and verbal communication skills in English.

• Ability to follow team procedures accurately and manage multiple priorities effectively.

• Ability to work effectively both independently and as part of a collaborative team.

What could set you apart

• Ability to verify issues by testing in higher environments, be on-call support for Production Incidents as needed.

• Experience with GCP services such as Dataflow, Composer, Cloud Storage, or Big Query.

• Familiarity with monitoring and logging tools within a cloud environment (e.g.: Google Cloud Logging and Monitoring).

• Exposure to financial services data and an understanding of its sensitivity and importance.

• Proficiency in scripting (Python) or object-oriented programming languages (Java).

Primary Location: CAN-Toronto-5700 Yonge CAN-Montreal

Function: Function - Tech Dev and Client Services

Schedule: Full time