Why This Role Stands Out
This hybrid Data Engineer role offers a fantastic opportunity to enhance your skills with cutting-edge Google Cloud Platform technologies and contribute to critical data pipelines. If you have a strong background in data ingestion, production support, and Java development, you'll thrive in this dynamic environment, ensuring smooth data operations and driving impactful insights for the client. Don't miss out on this chance to grow your career and apply today!
Quick Overview
Job Description
We are looking for Data Engineer for our client in Toronto, ON
Job Title: Data Engineer
Job Location: Toronto, ON
Job Type: Contract
Job Overview:
Requirement/Must Have:
- 6 8+ years of experience in supporting and managing data pipelines in production (L1/L2 support).
- Experience in Data Collection flows using CDC tools (e.g., Debezium) and file-based ingestion (CSV).
- Hands-on experience with Google Cloud Platform services including Pub/Sub, Dataflow (Apache Beam), and Datastream.
- Experience working with Cloud SQL (PostgreSQL) environments.
- Experience in CRM data ingestion and extraction into staging and harmonized data layers.
- Understanding of API-based data enrichment within ingestion workflows.
- Strong knowledge of production monitoring, alerting, and incident management processes.
- Programming experience in Java for pipeline support and enhancements.
Responsibilities:
- Provide L1 and L2 operational support for data pipelines across staging and harmonized data layers.
- Monitor data ingestion and extraction processes including CDC pipelines and CSV-based feeds, identifying failures, delays, and data inconsistencies.
- Perform incident triage and analysis using logs, metrics, Pub/Sub events, and alerts; resolve known issues within SLA boundaries.
- Support data enrichment workflows ensuring accurate and timely processing before downstream consumption.
- Work with Google Cloud Platform Pub/Sub topics, subscriptions, DLQs, alerts, and scheduled jobs for monitoring and operations.
- Support minor enhancements and configuration changes under guidance of senior engineers.
- Assist in testing and validation in lower environments and support controlled production deployments.
- Handle service requests, including data fixes, reruns, reconciliation, and contributing to RCA for recurring issues.
- Perform monitoring and housekeeping activities across Google Cloud Platform components.
- Maintain and update runbooks, operational procedures, and known issue documentation.
- Continuously identify improvement opportunities for stability, reliability, and operational efficiency.
Skills:
- Google Cloud Platform.
- Data Pipelines.
- L1/L2 Production Support.
- Pub/Sub.
- Dataflow (Apache Beam).
- Datastream.
- Debezium/CDC.
- Cloud SQL (PostgreSQL).
- Java.
- Data Ingestion.
- API Integration.
- Monitoring & Incident Management.
==
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
Skills
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