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Data Engineer 1 (5 Year Fixed Term)A Igreja de Jesus Cristo dos Santos dos Últimos DiasUnited States
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Data Engineer 1 (5 Year Fixed Term)

A Igreja de Jesus Cristo dos Santos dos Últimos Dias
  • US
    United States
  • US
    United States

À propos

Data Engineer 1 (5 Year Fixed Term) Riverton, UT, United States (Híbrido)
To meet the needs of the Church, we seek to build teams that represent the diverse perspectives, broad life experiences and backgrounds of our global Church membership. With that in mind, we encourage all qualified applicants to apply.
As a member of the Business Intelligence team, the Data Engineer 1 engages with multiple departments throughout the organization to take their data and transform it into information that will enable them to make better decisions. As an entry-level professional, the Data Engineer 1 gathers business requirements and designs, creates, and supports the data warehouse.
This 5-year fixed-term position works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel.
Responsibilities
Possess and utilize knowledge specific to the data field to complete significant assignments.
Maintain an understanding of the supported business processes.
Gather and document requirements for the data warehouse, cloud database solutions, and technologies.
Recognize and report security issues and requests and implement improvements.
Utilize Star Schema data models.
Support ETL jobs, pulling data from various source systems and loading data into the data warehouse.
Use semantic layer to support end-user self-service.
Create dashboards and reports using Microsoft Power BI or Tableau.
Create reports that highlight areas in need of performance improvement.
Qualifications
Bachelor's degree in related field or equivalent professional experience.
Six months of data warehouse experience.
Basic understanding of data analysis and report design/development.
Good verbal and written communication skills.
Contribute to resolving complex problems.
Familiarity with data engineering best practices.
Dimensional data modeling skills.
Ability to quickly learn new tools and technology.
Familiar with the ETL process and developing ETL code.
Ability to ingest and clean large sets of structured and unstructured data; Familiar with DevOps/DataOps process.
Familiar with technologies such as SQL and Python.
Exposure to the algorithms used for regressions, clustering, classification, forecasting, and constructing graphs.
This job operates in a professional office environment.
Physical requirements may include sitting for long periods and using computer monitors/equipment.
About Us Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord’s work, from developing technology that shares the gospel worldwide to maintaining facilities that provide places to worship, teach, learn, and receive sacred ordinances.
Equal Opportunity Employer The Church is an equal‑opportunity employer and does not discriminate on any basis that would violate U.S. or local law. Qualified applicants will be considered regardless of race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories. The Church will make reasonable accommodations for qualified individuals with known disabilities.
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  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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