Sr. Data Engineer MDM, Banking/financial-12+ years--ONSITE-W2 role

  Sr. Data Engineer (MDM experience is MUST) 
Location         :          Iselin, NJ  ONSITE - Need local resumes with candidates open for Client In-Person interview. 
 We are currently able to consider Only W2, Visa Independent candidates for this role.
 Job Summary: 

• We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team.

• The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. 

• You will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs.

  Required Qualifications:

• 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.

• Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.

• Strong functional knowledge of reference data sources and domain-specific data standards.

• Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.

• Familiarity with CI/CD practices, tools, and automation pipelines.

• Ability to work collaboratively across teams to deliver complex data solutions.

• Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).

Preferred Qualifications:

• Familiarity with financial data models and regulatory requirements.

• Experience with Azure cloud platforms

• Knowledge of data governance, data quality frameworks, and metadata management.

  Key Responsibilities:

• Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains.

• Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization.

• Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met.

• Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements.

• Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.

• Implement data integration pipelines leveraging modern data engineering tools and practices.

• Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.

• Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies.

• Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services.

• Ensure compliance with data governance, data privacy, and security standards.

• Support CI/CD pipelines for continuous integration and deployment of data solutions.