Description

You will own the design, development, and deployment of Master Data Management solutions for financial data domains.

This role is on-site.

Responsibilities

• Architect and present end-to-end MDM architectures ensuring scalability and data quality.
• Implement data integration pipelines using modern data engineering tools.
• Develop, automate, and maintain data workflows using Python and orchestration tools.
• Build and optimize data processing solutions leveraging Kafka, Databricks, Snowflake, and Azure Data Factory.
• Design microservices using GraphQL to enable flexible data services.

Required Skills

• 12+ years of experience in data engineering with a track record of MDM implementations.
• Extensive experience designing and deploying MDM solutions and comparing platform options (e.g., Informatica, Talend).
• Expertise in Python, PySpark, Kafka, Databricks, Snowflake, and Azure Data Factory.
• Strong functional knowledge of reference data sources and domain-specific data standards.
• Experience with microservices architecture, particularly GraphQL.
• Proficiency with orchestration tools like Airflow or Astronomer.
• Familiarity with CI/CD practices and data governance standards.
• Experience with financial systems such as capital markets or credit risk applications.

Preferred Skills

• Experience with capital markets or credit risk applications.

Key Skills

Education

Any Gradute