Senior Master Data Management (MDM) Developer

Position:Senior Master Data Management (MDM) Developer with Databricks

Location: Mississauga ON (Hybrid)

Position Type: Full-time

Must have Banking/Finacial Domain Experience.

Job Description:

We are seeking an experienced Senior MDM Developer with expertise in Databricks to join our data management team. The ideal candidate will be responsible for designing developing and implementing scalable MDM solutions leveraging Databricks and related big data technologies. This role requires strong technical skills data modeling proficiency and the ability to collaborate across teams to ensure data integrity quality and governance.

Responsibilities:

• Design develop and maintain Master Data Management (MDM) solutions to ensure accurate consistent and reliable master data across the organization.
• Build and optimize scalable data pipelines and workflows using Databricks on Azure cloud platform.
• Collaborate with data architects business analysts and data stewards to gather requirements and translate them into technical solutions.
• Develop and implement data integration processes data quality rules and data transformation logic within Databricks environment.
• Create and maintain data models metadata and documentation for MDM processes.
• Apply best practices for data governance security and compliance within MDM and Databricks ecosystem.
• Perform data profiling analysis and troubleshooting to resolve data issues and improve data quality.
• Automate routine tasks and implement continuous improvement initiatives.
• Mentoring junior team members and providing technical guidance on MDM and Databricks best practices.
• Stay updated with emerging trends and technologies in MDM big data and cloud-based data platforms.

Requirements:

• Bachelors degree in Computer Science Information Technology or related field; Masters preferred.
• Extensive experience in MDM design development and implementation.
• Proven expertise with Databricks platform including notebooks Spark Delta Lake and Spark SQL.
• Strong programming skills in Python.
• Experience with cloud platform such as Azure (Azure Data Factory Azure Data Lake)
• Familiarity with data modeling data warehousing and ETL/ELT processes.
• Understanding of data governance data quality and master data concepts.
• Good knowledge of SQL and working with large datasets.
• Excellent problem-solving communication and team collaboration skills.

Preferred Qualifications:

• Certifications in Databricks (e.g. Databricks Certified Data Engineer) or cloud platforms.
• Experience with other data integration tools and MDM solutions.
• Knowledge of data visualization and reporting tools.
• Prior experience in an Agile development environment.

It would be great if you also had:

• Detail-oriented ability to turn deliverables around quickly with a high degree of accuracy
• Strong analytical skills ability to interpret business requirements and produce functional and technical design documents.
• Good time management skills Ability to prioritize and multi-task handling multiple efforts at once.
• Strong desire to understand and learn domain.
• Experience in a financial services/banking industry
• Ability to work in a fast-paced environment; to be flexible and learn quickly.
• Ability to multi-task with attention to detail/ prioritize tasks.