Job Title: Senior Data Engineer -MDM
Job Location: Mississauga ON (3 days onsite in a week)
Duration: Long Term
Job Description:
We are seeking a seasoned Senior Data Engineer with extensive experience in MDM implementations preferably within the financial services or investment banking sector. The ideal candidate will have a proven track record of architecting end-to-end MDM solutions evaluating various platforms and ensuring data integrity across complex reference data domains.
Key Responsibilities:
- Lead the design development and implementation of end-to-end Master Data Management (MDM) solutions to meet organizational needs.
- Present and articulate architecture designs for MDM solutions to technical teams and stakeholders.
- Conduct comparative analysis of different MDM platforms providing strategic recommendations aligned with business objectives.
- Collaborate closely with data governance data quality and business teams to define reference data standards.
- Develop and maintain scalable ETL/ELT workflows utilizing Python Data Bricks Azure Data Factory (ADF) Apache Airflow and other tools.
- Integrate MDM solutions with data lakes warehouses and other analytical platforms like Snowflake.
- Design and implement data pipelines leveraging Kafka for real-time data integration.
- Ensure adherence to best practices in CI/CD pipelines for seamless deployment and version control.
- Proactively troubleshoot optimize and document data workflows.
- Maintain strong communication with technical teams stakeholders and project managers to ensure alignment and clarity.
Technical Skills & Qualifications:
- Proven experience (several implementations) in MDM projects with preferable exposure in the financial/investment banking sector.
- Strong ability to architect and present comprehensive MDM solutions.
- Deep understanding of reference data management and governance.
- Expertise with MDM platform comparisons (e.g. Informatica Reltio Talend or similar).
- Proficiency in Python Data Bricks Azure Data Factory SQL Kafka Snowflake and Apache Airflow.
- Familiarity with CI/CD tools and practices (Azure DevOps Jenkins etc.).
- Excellent problem-solving and analytical skills.
- Strong communication and stakeholder management skills.
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science Data Engineering or related field.
- Prior experience working in financial services investment banking or related domains.
- Certifications related to cloud platforms (Azure AWS) Data Management or MDM solutions
Job Title: Senior Data Engineer -MDM Job Location: Mississauga ON (3 days onsite in a week) Duration: Long Term Job Description: We are seeking a seasoned Senior Data Engineer with extensive experience in MDM implementations preferably within the financial services or investment banking sector. The...
Job Title: Senior Data Engineer -MDM
Job Location: Mississauga ON (3 days onsite in a week)
Duration: Long Term
Job Description:
We are seeking a seasoned Senior Data Engineer with extensive experience in MDM implementations preferably within the financial services or investment banking sector. The ideal candidate will have a proven track record of architecting end-to-end MDM solutions evaluating various platforms and ensuring data integrity across complex reference data domains.
Key Responsibilities:
- Lead the design development and implementation of end-to-end Master Data Management (MDM) solutions to meet organizational needs.
- Present and articulate architecture designs for MDM solutions to technical teams and stakeholders.
- Conduct comparative analysis of different MDM platforms providing strategic recommendations aligned with business objectives.
- Collaborate closely with data governance data quality and business teams to define reference data standards.
- Develop and maintain scalable ETL/ELT workflows utilizing Python Data Bricks Azure Data Factory (ADF) Apache Airflow and other tools.
- Integrate MDM solutions with data lakes warehouses and other analytical platforms like Snowflake.
- Design and implement data pipelines leveraging Kafka for real-time data integration.
- Ensure adherence to best practices in CI/CD pipelines for seamless deployment and version control.
- Proactively troubleshoot optimize and document data workflows.
- Maintain strong communication with technical teams stakeholders and project managers to ensure alignment and clarity.
Technical Skills & Qualifications:
- Proven experience (several implementations) in MDM projects with preferable exposure in the financial/investment banking sector.
- Strong ability to architect and present comprehensive MDM solutions.
- Deep understanding of reference data management and governance.
- Expertise with MDM platform comparisons (e.g. Informatica Reltio Talend or similar).
- Proficiency in Python Data Bricks Azure Data Factory SQL Kafka Snowflake and Apache Airflow.
- Familiarity with CI/CD tools and practices (Azure DevOps Jenkins etc.).
- Excellent problem-solving and analytical skills.
- Strong communication and stakeholder management skills.
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science Data Engineering or related field.
- Prior experience working in financial services investment banking or related domains.
- Certifications related to cloud platforms (Azure AWS) Data Management or MDM solutions
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