Senior Data Engineer with MDM experience Banking Domain || Local to NYNJ || USC, GC & EADs

Iselin, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Hello
Hope you are doing well.
Please have a look at the JD below for the position of Senior Data Engineer with MDM experience - Banking Domain for one of our clients if intersted then please revert me with updated resume.

Job Title: Senior Data Engineer with MDM experience - Banking Domain
Job Location: Iselin NJ - Hybrid
NEED LOCAL
Visa: USC GC GCEAD H4EAD
Interview: 2 Rounds and Final Round is In-Person Interview
Must Have:

MDM Experience.
Recent 3-5 years of banking domain experience required.

Job Description:
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.

Hello Hope you are doing well. Please have a look at the JD below for the position of Senior Data Engineer with MDM experience - Banking Domain for one of our clients if intersted then please revert me with updated resume. Job Title: Senior Data Engineer with MDM experience - Banking Domain Job Loc...

MDM Experience.
Recent 3-5 years of banking domain experience required.

Job Description:
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: