Sr Software Engineer (Data Engineer) Sr Software Engineer (Data Engineer) …

Moody's
à Charlotte, NC, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Moody's
à Charlotte, NC, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Moody's
Sr Software Engineer (Data Engineer)
Job Description We are seeking an experienced Data Engineer with in-depth knowledge in data modelling tools and techniques to join our Enterprise Solutions Architecture team. In this role, you will be responsible for design, development of the Business Warehouse and Analytical solutions, and support the integration of cross-functional data that includes various enterprise business applications. The data modeler will support our software engineers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout projects. The engineer will be part of a development team using an agile methodology to continuously deliver business value.
Description The Senior Engineer - Data Modeler role will be a part of the Moody's EBS Architecture team and will have several key responsibilities:
  • Participate in design sessions to understand business needs and functional / non-functional requirements, and apply appropriate patterns and practices.
  • Design and development of data models across various functional areas and ensures enterprise data is structured for ease of use.
  • Develop and maintain an integrated, subject-oriented, predominantly conceptual and logical data model that represents essential data produced and consumed across the enterprise for a domain.
  • Strong relational and dimensional Data modeling and information classification expertise.
  • Represent data modeling concerns in design, implementation and deployment reviews
  • Lead proofs of concept and prototypes of leading and emerging data technologies.
  • Provide guidance to business, solution development and operations teams in applying leading and emerging data technologies.
  • Accountable for solutions in the supported functional area by safeguarding the data model consistency, the data flows process structure and the data integrity.
  • Strong technical skills designing, developing, implementing applications through agile and waterfall SDLCs in a team collaboration environment.
  • Develops, manages and updates the data models, including physical and logical models of the data warehouse, data mart and staging area and sometimes the operational data store and data source systems.
  • Reviews Data Models with Data SMEs, Data Modeler (peer reviews), Development teams, and architecture teams.
  • Delivery of the data model implementation in the data warehouse with the project team.


Qualifications
Qualifications
Candidates are expected to demonstrate experience in each of the above responsibilities and focus areas, with the following specific qualifications:
Required
  • BS in Computer Science, Mathematics, Business, Statistics or related technical field required.
  • 8+ years related work experience in data modeling.
  • Minimum of 5 years' experience with Logical Design demonstrated with large scale, multiple business solutions across divisions or enterprise.
  • Experience in data modeling, harmonizing, cross functional integrations, optimizations, supporting enhancements, troubleshooting support issues.
  • Experience with applied design techniques for optimizing models for operational, reporting, analysis and distribution data needs.
  • Familiarity with data warehouse development techniques with SAP BW, SAP HANA etc.
  • Experience developing solutions with mix of structured, semi-structured and unstructured information.
  • Strong analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations
  • Good communication and written skills
  • Organized, detail-oriented, QA-focused
Preferred Candidates should also have experience with the following specific technologies:
  • ER Studio/any other data modeling or profiling software.
  • Technology Subject matter Expert implementing data modeling techniques for Data Warehousing in SAP Business Warehouse.
  • Proficient in ER design, Dimensional Design, Canonical design, Object design, UML.
  • SAP HANA Modeling.


Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com.. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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