ETL Quality Assurance Analyst
2 weeks ago
2 Openings
Data Quality Specialist
- Local candidates preferred for in-person interviews.
- Hybrid work model: 3 days in the office and 2 days remote.
- Contract position for a duration of 6+ months.
- Experience with Talend is essential. Proficiency in SQL is required.
Overview:
The Data Quality Specialist is responsible for the design and operational execution of the Data Quality framework within the Enterprise Information Service. This role includes coordinating with all technical resources throughout the information investigation and data management lifecycle. Additional responsibilities encompass the creation and maintenance of various documentation, quality assurance testing support, and assisting in delivery activities.
Key Responsibilities:
- Conduct thorough data quality analysis to support Enterprise Information Services Data Warehouse initiatives.
- Collaborate closely with Business Analysts, Data Analysts/Scientists, Development teams, and Product Owners to ensure the accuracy and validity of data across multiple source systems. Develop validation scripts for automated execution and generate actionable data quality reports that track trends over time.
- Lead the design and implementation of data quality screening strategies and protocols utilized in QA processes; ensure adherence to all relevant QA protocols, processes, and procedures across the Enterprise Information Services technology stack.
- Participate in the architectural design of data quality practices with the technical team, including the design and specifications of data quality screens, data modeling, and documentation of logical processing flows.
- Serve as a liaison between the business and technical communities, interpreting data domain needs and translating them into technical quality assessment rules for developers and vice versa.
- Engage in business process analysis and data modeling.
- Involve in SQL data investigation and manual testing across various scrum teams.
- Familiarity with Agile testing methodologies is advantageous.
- Develop, document, and implement data quality standards for the Enterprise Information Services platform.
- Regularly review and interpret QA results and findings with minimal support from senior leadership.
- Utilize innovative analytical techniques and organizational skills to identify and evaluate alternatives, developing recommended approaches to resolve quality assurance issues.
Qualifications:
- Bachelor's degree with a minimum of five to eight years of relevant experience or an equivalent combination of education and experience (systems consulting experience is preferred).
- At least three years of experience in large-scale system implementation efforts following a standard software development lifecycle approach (scrum experience is desired).
- Experience in business and technical requirements analysis, data modeling/mapping, and quality assurance frameworks.
- Strong oral and written communication skills.
- Ability to create systematic and manual data quality operations procedures in both technical and user-friendly language.
- Demonstrated effectiveness in a fast-paced, rapidly changing environment.
- Strong facilitation and organizational skills.
- Extensive knowledge of industry-standard development methodologies and technologies.
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