Data Engineer with MDM

Job Title: Sr. Mid-level Data Engineer MDM Location: Mississauga, ON - Hybrid Employment: Contract opportunity Must be willing to attend Client L1 at Synechron’s Mississauga/Montreal office. About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients. Job Description: Lead and contribute to one or more end-to-end Master Data Management (MDM) projects, ensuring data quality, consistency, and integrity across enterprise systems. Design, develop, and maintain data pipelines, architectures, and integrations to support critical business functions. Work with reference data, particularly in financial services, ensuring accurate and timely data updates, transformations, and storage. Build and optimize scalable data workflows using a range of tools and platforms. Develop and maintain microservices, particularly leveraging GraphQL, to facilitate efficient data access and manipulation. Implement data solutions on cloud platforms such as Data Bricks, Snowflake, and Azure, utilizing Azure Data Factory (ADF) and related services. Write optimized SQL queries for data extraction, transformation, and loading (ETL/ELT processes). Orchestrate and automate workflows using tools like Apache Airflow or Astronomer, ensuring reliable and repeatable data operations. Collaborate with data scientists, business analysts, and stakeholders to understand data needs and translate them into effective technical solutions. Monitor data pipeline performance, troubleshoot issues, and implement improvements to ensure high availability and robustness. Document architecture, workflows, and procedures, maintaining clear communication across teams. Required Skills and Experience: 8 years of experience in data engineering or related roles, with proven experience in large-scale MDM projects. Strong understanding of reference data management, especially within the finance industry. Demonstrated expertise in programming languages and tools such as: Python for scripting and automation Kafka for real-time data streaming Microservices development, with a focus on GraphQL Cloud-based data platforms like Data Bricks and Snowflake Cloud services on Azure, including Azure Data Factory (ADF) SQL for data querying and manipulation Workflow orchestration tools like Apache Airflow or Astronomer Excellent problem-solving skills and the ability to work independently or as part of a team. Good communication skills to effectively liaise with technical and non-technical stakeholders. Preferred Qualifications: Experience working in the finance or banking sector with a strong understanding of financial reference data. Familiarity with DevOps practices related to data engineering. Certification or demonstrated expertise in cloud platforms (e.g., Azure Data Engineer certifications). Prior exposure to data governance and compliance standards relevant to financial data. Warm Regards, Wariya Siraj Technical Recruiter O: (860) 960 0605 Ext: 221 D: (289) 633-4046

Location: Mississauga, Ontario, CA

Posted Date: 11/5/2025