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Sr Data Modeler

2 months ago

Charlotte, United States DATAECONOMY Full time

Sr. Data Modeler

Charlotte NC

Fulltime


Key Skills Required:

  • Data Modelling: Extensive experience in data modelling including conceptual logical and physical data models.
  • DRB (Data Resource Book): Strong experience with DRB methodologies and tools.
  • Database Design: Proficiency in database design and development including normalization indexing and partitioning.
  • SQL: Advanced SQL skills for querying and managing databases.
  • ETL Processes: Knowledge of ETL (Extract Transform Load) processes and data integration techniques.
  • Data Warehousing: Experience with data warehousing concepts and best practices.
  • Tools: Proficiency in data modelling tools such as Erwin IBM InfoSphere Data Architect or similar.
  • Big Data Technologies: Familiarity with Big Data technologies such as Hadoop Spark and NoSQL databases is a plus.
  • Good understanding of Cloud (AWS/GCP/Azure)
  • Good understanding of data governance data management data engineering data visualization concepts and tools used in the industry.
  • Collaboration: Excellent communication and teamwork skills for collaborating with business analysts data architects and developers.


Responsibilities:

  • Design and develop robust data models to support business requirements ensuring consistency quality and accuracy.
  • Utilize DRB methodologies to create and maintain comprehensive data resource books.
  • Collaborate with business analysts and stakeholders to gather and interpret requirements translating them into effective data models.
  • Develop and optimize database schemas ensuring efficient data storage and retrieval.
  • Support ETL processes and data integration initiatives ensuring data consistency and integrity across systems.
  • Implement data warehousing solutions supporting reporting and analytics needs.
  • Ensure compliance with data governance policies and standards.
  • Conduct data profiling and analysis to identify and resolve data quality issues.
  • Provide guidance and mentorship to junior data modelers and data engineers.
  • Stay updated with industry trends and advancements in data modelling and database technologies.




Requirements

Qualifications:

  • Bachelor s degree in Computer Science Information Technology or a related field; Master s degree preferred.
  • 15 years of experience in data modelling database design and data management.
  • Strong experience with DRB methodologies and tools.
  • Proficiency in SQL and data modelling tools such as Erwin or IBM InfoSphere Data Architect.
  • Solid understanding of data warehousing concepts and ETL processes.
  • Excellent analytical and problemsolving skills.
  • Strong communication and interpersonal skills.
  • Ability to work effectively in a teamoriented collaborative environment.
  • Familiarity with Big Data technologies is a plus.


BenefitsStandard FT benefits
Technical Skills: 15+ years of experience in data modelling, database design, and data management. Strong experience with DRB methodologies and tools. Proficiency in SQL and data modelling tools such as Erwin or IBM InfoSphere Data Architect. Solid understanding of data warehousing concepts and ETL processes. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills. Ability to work effectively in a team-oriented, collaborative environment. Familiarity with Big Data technologies is a plus.