Lead Data ETL Engineer
- Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%)
- Vision, dental, life, and disability insurance options
- Paid vacation, sick leave, and holidays
- Teachers Retirement System of Texas (a defined benefit retirement plan)
- Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b)
- Flexible spending account options for medical and childcare expenses
- Training and conference opportunities
- Tuition assistance
- Athletic ticket discounts
- Access to UT Austin's libraries and museums
- Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: and This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses). Purpose The Lead 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 Lead Data ETL Engineer designs and 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 Lead Data ETL Engineer supervises the Data ETL Engineer group and plays a critical part in establishing a valuable cloud data warehouse that supports critical business decisions and data analysis processes for the campus community. The Lead Data ETL Engineer leverages their creativity to solve complex data and business problems and builds effective relationships through open communication. Responsibilities Coaching & Supervision:
- Set goals for performance and deadlines for subordinates
- Organize workflows and ensure that ETL engineers understand their duties or delegated tasks
- Monitor employee productivity and provide constructive feedback and coaching
- 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
- Adapt ETL programs to evolving data models and business needs
- Adapt ETL programs in response to data quality assurance findings
- 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
- BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
- At least five years of experience designing and implementing ETL technical solutions for complex data models using multiple data sources.
- Two 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.
- Two to five years experience with Oracle and AWS PostgreSQL database environments including proficiency with scripting languages.
- 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.
- Three to five years serving as technical lead or manager.
- Team player, comfortable communicating cross-functionally and across management levels.
- Self-motivated and able to organize work independently in a rapidly changing environment.
- Graduate degree in computer Science or related field with eight 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).
- Typical office environment
- Repetitive use of a keyboard
- Occasional extended work hours or on-call obligation
- Up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence.
- Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
- E-Verify Poster (English) [PDF]
- E-Verify Poster (Spanish) [PDF]
- Right To Work Poster (English) [PDF]
- Right To Work Poster (Spanish) [PDF]
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