Role: Senior Data Engineer (MDM)
Location: Iselin NJ (Hybrid 3 days in a week)
Duration: Long Term
In-person Interview is required
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.
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.
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.
Role: Senior Data Engineer (MDM) Location: Iselin NJ (Hybrid 3 days in a week) Duration: Long Term In-person Interview is required 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 can...
Role: Senior Data Engineer (MDM)
Location: Iselin NJ (Hybrid 3 days in a week)
Duration: Long Term
In-person Interview is required
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.
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.
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.
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