Sr. Data Engineer-MDM

JOB DESCRIPTION

Title : Sr. Data Engineer (MDM experience is MUST)

Location : Iselin NJ

Duration : 12 Months

IMPORTANT NOTE-

Need local profiles only

In-Person interview will be required.

Recent 3-5 years of banking domain experience 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.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1