The Specialist - Data Quality and Operations is accountable for the design and operations of Enterprise Information Managements Data Operations and Data Quality framework components. This individual will also coordinate technical resources throughout the lifecycle of information investigation and data management. Secondary responsibilities include creation and maintenance of various types of documents, quality assurance testing support and assisting in delivery activities.
GENERAL RESPONSIBILITIES
- 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.
- Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.
- Supports design and implementation of data quality screen strategies and protocols used in QA processes; ensures the full application of all relevant QA protocols, processes and procedures across the Enterprise Information Services technology stack.
- Monitor scheduled jobs and improve reliability of ongoing processing
- Monitor, measure, and enhance ways to improve system performance
- Coordinate and participate in application testing and quality inspections
- Participation in architecting the logical design of data quality practices with the technical team, including DQ screen design and specifications, data modeling, and documentation of logical processing flows.
- 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
- Develop, documents and implements data quality standards for Enterprise Information Management platform.
- 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
EXPERIENCE and QUALIFICATIONS
- Bachelors degree with at least 5 to 8 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. Experience with Talend is highly preferred.
- 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, JSON handling
- Experience with Hadoop (HDFS, Hive, Spark) will be considered a plus
- Experience with Python will be considered a plus
- Experience with business and technical requirements analysis, data modeling/mapping, and quality assurance frameworks
- 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
- Extensive knowledge of industry standard development methodologies and technologies
by via developer jobs - Stack Overflow
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