Data ETL Engineer

Job Description

R_00031892
Data ETL Engineer
 
Purpose
The Data ETL Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the usability and value of institutional data.
The Data ETL Engineer develops extract, transform, and load (ETL) procedures using integration tools such as Informatica for complex data models that reflect academic and administrative business processes at the University of Texas at Austin.  The Data ETL Engineer plays a critical part in establishing a valuable cloud data ecosystem warehouse that supports critical business decisions and data analysis processes for the campus community. The Data ETL Engineer leverages their creativity to solve complex data and business problems and builds effective relationships through open communication.
 
Responsibilities
Development & Design:

Develop ETL programs for complex dimensional data models within modern data platforms such as AWS Aurora Postgres, Snowflake, etc.
Interpret and devise data mapping documents
Design and automate ETL solutions for data cleansing, preparation, data validation and related processes

Adaptation & Maintenance:

Adapt ETL programs to evolving data models and business needs
Adapt ETL programs in response to data quality assurance findings

Communication & Collaboration:

Partner with key stakeholders including enterprise data architect, subject matter experts (SMEs), data modelers, and teammates
Guide complex technical projects, enabling effective communication and collaboration with project stakeholders

Other duties as assigned.
 
Required Qualifications

BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
2 years of experience designing and implementing ETL technical solutions for complex data models using multiple data sources.
2 years of experience with Informatica, Python, SQL, and PL/SQL.
Demonstrated expert judgment in selecting methods, techniques, and evaluation criteria for designing ETL solutions and optimizing ETL performance.
2 years of experience with Oracle and AWS PostgreSQL database environments including schema architecture, Strong communication and collaboration skills and good documentation habits.
Demonstrated experience with orchestration and automation of database processes.
Strong aptitude for troubleshooting and problem solving.
Team player, comfortable communicating cross-functionally and across management levels.
Self-motivated and able to organize work independently in a rapidly changing environment.
Equivalent combination of relevant education and experience may be substituted as appropriate.

Relevant education and experience may be substituted as appropriate.
 
Preferred Qualifications

Graduate degree in computer Science or related field with five years of professional experience as an ETL Developer utilizing Informatica, IBM DataStage, SQL, PL/SQL, and Python.
Three years of experience working in a cloud-based data warehouse environment. Experience with multiple types of databases.
Experience with high availability database implementations.
Basic networking knowledge as it relates to database systems.
Informatica and AWS certifications.
Strong knowledge of Quality Assurance processes, test case development and execution.
Knowledge of Agile software development methodologies (Kanban, Scrum). Experience with issue tracking systems (JIRA).

 
Salary Range
$110,000 – $125,000
 
For a detailed description and to apply for this position, please visit our online job application system at:
https://utaustin.wd1.myworkdayjobs.com/en-US/UTstaff/details/Data-ETL-Engineer_R_00031892?q=data%20etl%20engineer