UST
Website:
ust.com
Job details:
Role Description
This position performs complex research and data engineering assignments within an engineering functional area or product line, and provides direct input to project plans, schedules, and methodology in the development of cross-functional products. This position performs date engineering testing - typically across multiple systems; mentors more junior members of the team; and talks to users/customers and translates their requests into solutions.
Job Description
BASIC FUNCTIONS: This position performs complex research and data engineering assignments within an engineering functional area or product line, and provides direct input to project plans, schedules, and methodology in the development of cross-functional products. This position performs date engineering testing - typically across multiple systems; mentors more junior members of the team; and talks to users/customers and translates their requests into QE scenarios.
Qualifications
- 8+ years in data management area with a technical competencies required.
- Bachelor s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
Technical Skills
- Advanced knowledge of software development methodologies (e.g., Agile, Waterfall).
- Strong proficiency with data manipulation language including optimization techniques.
- Strong understanding of normalized/dimensional data modeling principles.
- Strong knowledge of multiple data storage subsystems.
- Subject Matter Expertise in development languages including: Python, XML, JSON, SQL, HPCC, ETL Testing.
- Strong knowledge in Industry data engineering best practices.
- Knowledge in using and testing in applicable toolsets.
- Ability to interface competently with other technical personnel or team members to finalize requirements.
- Ability to work well with internal and external technology resources.
- Knowledge of test-driven development.
- Ability to write and review portions of detailed specifications for the testing of complex system components.
- Understanding of automation/other tools to increase efficiency.
- Strong problem solving and research skills.
- Ability to troubleshoot and resolve process inefficiencies (i.e. bugs) in the repository.
- Strong attention to detail.
- Strong oral and written communications skills.
Accountabilities
- Perform daily data loads ensuring recurring updates are logged and tracked.
- Interface with other technical personnel or team members to document, interpret, and finalize requirements.
- Produce scenarios that is efficient, repeatable, without defects, and adherent to best practices.
- Write and review portions of detailed specifications for the testing of data components.
- Complete complex data engineering bug fixes and issues, researching and identifying root causes as appropriate.
- Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
- Work closely with development team members to understand complex product requirements and translate them into data engineering and/or data management designs and scenarios specifications.
- Innovate process improvements that enable efficient delivery and maintenance.
- Successfully implement automation testing processes.
- Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
- Identify areas where it is an advantage to work with other teams to improve overall quality, and, with peers or others, implement initiatives improving capabilities and efficiency.
- Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.
- Keep abreast of new technology developments.
- Design and works with complex data models.
- Mentor less senior QE data engineers on methodologies and optimization techniques.
- All other duties as assigned
Skills
automation testing,python,etl testing,automation,sql,hpcc,troubleshooting
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