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Homeoffice Data Engineer

Affine  ·  nan, · Remote

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About the job

We are seeking a highly skilled Data Modeler to design and implement both logical and physical data models in support of our microservices-based environment. The role involves working closely with data engineering and data warehousing teams to ensure data quality, optimization, and efficient data flows across the organization.

Key Responsibilities

  • Design, develop, and maintain logical and physical data models, ensuring data integrity, consistency, accuracy and optimize the performance.
  • Collaborate with data engineering teams to define and implement data structures that support microservices-based architectures.
  • Develop and maintain mapping tables, ensuring accurate and efficient data integration.
  • Create and enforce data modeling standards, best practices, and governance policies.
  • Ensure data quality by implementing validation rules, data cleansing processes, and optimization techniques.
  • Work closely with ETL teams to define and implement data flows and transformation logic.
  • Support data warehousing efforts by designing models that align with the organization's reporting and analytics needs.
  • Perform reverse engineering of existing data models and recommend improvements.

Primary Skillsets

  • Expertise in data modeling techniques, including ERD (Entity-Relationship Diagrams), dimensional modeling, and normalization/denormalization processes.
  • Strong experience with data warehousing concepts and architectures, including star and snowflake schemas.
  • Proficiency in SQL for data querying, transformation, and optimization
  • Familiarity with ETL processes and tools (e.g., AWS Glue, Informatica, Talend).
  • Experience in data quality management, including data profiling, validation, and cleansing.
  • Understanding of data governance practices and metadata management.
  • Experience with cloud-based data warehousing solutions, particularly on AWS.
  • Familiarity with microservices architecture and how it influences data modeling.
  • Experience with Data Modeling tools such as Erwin, IBM Infosphere etc
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