- Manages operations of data ingest processes and ensuring quality of inbound data from various sources.
- Investigates, resolves, communicates, and documents job failures/errors. Completes impact assessment and communicates to stakeholders.
- Recommends technical solution to handle process failures.
- Performs new setups and setup updates for existing integrations for customers and carriers.
- Assists with new implementation testing and troubleshooting.
- Assists as needed with new integration projects.
- Work closely with Business Analysts, Data Analysts/Scientists, Development, and Product Owners to ensure data housed in multiple source systems is coming in on timely basis, is valid and accurate.
- Monitor scheduled jobs and improve reliability of ongoing processing.
- Monitor, measure, and enhance ways to improve system performance.
- Act as translator between business and technical community interpreting data domain needs and translating them into more technical quality assessment rules for developers (and vice-versa).
- Agile testing knowledge is a plus.
- Uses out-of-the-box ingenuity in applying analytical techniques and organizational skills to identifying and evaluating alternatives and to developing recommended approaches to resolving quality assurance issues and problems.
EXPERIENCEand QUALIFICATIONS
- Bachelor's degree with at least 1 to 3 years related experience or equivalent combination of education and experience
- At least three years' experience in large scale system implementation efforts following a standard software development lifecycle approach (scrum desired)
- At least five years' experience as developer with data integration tools such as Informatica, Talend, Datastage. Preferred Experience with Talend
- Solid understanding of Relational database concepts and data processing concepts
- Experience with Software development lifecycle including agile methodology
- Hands-on experience with ANSI SQL, Java, and shell scripting
- Familiar with XML, JSON
- Experience with business and technical requirements analysis, data modeling/mapping, and quality assurance frameworks
- Strong oral and written communications skills
- Ability to create systematic and manual data ingest monitoring and quality operations procedures in both technical and user-friendly language
- Demonstrated effectiveness in a fast-paced rapidly changing environment
- Strong facilitation skills
- Ability to multi-task
- Collaborative mindset
- Self-Starter
- Detail-Oriented
- Excellent time/task management skills
- Excellent organization and management skills
- Extensive knowledge of industry standard development methodologies and technologies
- Ability to be able to provide off hours and weekend on-call support