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Sr. Data Engineer
Sr. Data EngineerVeeRteq Solutions Inc. • Iselin, New Jersey, USA
Sr. Data Engineer

Sr. Data Engineer

VeeRteq Solutions Inc. • Iselin, New Jersey, USA
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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.
  • 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

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