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Data Engineering Intern
Data Engineering InternFederal Home Loan Bank of Cincinnati • Cincinnati, OH, United States
Data Engineering Intern

Data Engineering Intern

Federal Home Loan Bank of Cincinnati • Cincinnati, OH, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Data Engineering Intern

Are you seeking a challenging

intern experience in a dynamic organization and employee-centered culture? Are

you interested in working for a growing financial institution where your

performance may be recognized? Would you like to join a company that is dedicated

to making a noteworthy impact in our community? If you answered "yes"

to one or more of these questions, do not miss an opportunity to consider

joining our team at FHLB Cincinnati.

General Summary : As a

Data Engineering Intern you will gain valuable real-world experience through

projects with exposure through the senior leadership level. The Data

Engineering Intern will be

a member of the Data & Analytics Agile scrum team who will assist in the

design, development, and testing of Enterprise Data Warehouse.

Principal Duties and Responsibilities :

  • Assists in following standard development and enhancement process to ETL pipelines using Azure Data Factory
  • Document data engineering processes, as needed
  • Investigate data related issues by executing SQL queries

Qualifications :

  • Knowledge at a level normally acquired through completion of the first three years of a Bachelor's degree from an accredited college or university - preferably in a relevant field of study (i.e. Business Analytics, Data Science, Finance, Economics, Math, or Statistics). Completion of graduate-level coursework a plus
  • Theoretical knowledge of Azure Data Factory such as Datasets, Pipelines, Activities, Tasks, Data Flows. Hands on experience preferred
  • Understanding and writing SQL queries / views
  • Conceptual understanding of Data Warehouse design and modeling
  • Desire to learn and teach data engineering techniques in a collaborative environment on an Agile scrum team
  • Preferred experience utilizing R, SQL, Python and / or Snowflake.
  • Effective verbal and written communication skills
  • Financial aptitude is helpful to understand business processes
  • Working

    Conditions :

    Normal hybrid office environment with flexibility.

    Apply Now

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