Sr Data Quality Engineer

Key Skills

Data Engineering, Data Warehousing, Database, Effective communication skills, ETL frameworks, Machine learning techniques, NoSQL, PLSQL, Python Programming, R Programming, Safety & Quality Management System-SQMS, Software Development, SQL, Tableau

Job Description

The Senior Data Quality Engineer is responsible for testing and assuring the quality of analytical and reporting solutions to support the operational and strategic imperatives of the organization. This position works closely with Data Warehouse (DWH) technical development team and Product in an Agile development process. Also, this role is heavily involved in developing and executing test cases within Microsoft SQL, Oracle PL/SQL, Tableau, SSRS and/or Jasper environments.

This position participates in all aspects of project testing, business requirement analysis, data analysis, testing strategy, test case creation, test case execution, defect finding and metrics on testing/defect life cycle. This position performs the analysis and testing activities from end user perspective to ensure the data quality of all the customer facing products. This position is required to understand the Operations Processing and execution across all lines of business. 

Responsibilities

• Ensure data integrity by implementing quality assurance practices in support of data warehouse environments and ETL processes / projects
• Analyze data and reporting assets to ensure that products meet design specifications and standards
• Design test plans, scenarios, scripts and procedures based on business requirements
• Test any new products to ensure functional requirements, system compliance, and technical specifications are adhered to
• Contribute to standards and procedures for measuring product quality and release readiness
• Create, maintain, and execute manual and automated test cases for functional and regression testing and follow the defect management proces
• Involve in Functional Testing, exploratory testing, Post Prod Validation, Integration Testing, End to End Testing and other testing activities
• Ensure adherence to standardized QA policies, processes and documentation standards
• Work in QA process improvement, QA KPI definition and implementation, new tools analysis and other QA strategic initiatives
• Efficiently work in an Agile environment – both Sprint and KanBan
• Help to mentor and develop other QA members of the BI team
• (Re)test QA/UAT/Production defect fixes
• Work with source code, version management, and code deployment standards and for utilize this knowledge to ensure that QA processes and procedures for test environments are followed and that the integrity of the various environments is not compromised
• Perform other duties and responsibilities as required, assigned, or requested

Qualifications

• Bachelor’s degree in a technical or business discipline OR additional training/certification on ETL and Data Warehouse testing
• Five years of database / warehouse experience in Information Technology with a reporting/analytics or software development focus
• Demonstrated strong SQL skills in reading and writing data from a relational database for purposes of data warehousing, ETL, and data management
• Two years of using test management tools like HP ALM/qTest/xRay and Two years of experience using any automated ETL/Dashboard/Reporting testing tool
• Demonstrated analytical, problem-solving, time management skills and think out of the box
• Demonstrated experience of working with Data Quality Metrics
• Works to achieve operational targets, which has moderate impact on the overall achievement of results for the team
• Passion to discover data-driven solutions that solve business problems within a healthcare setting
• Possesses data warehouse core techniques: design, ETL, query development and optimization to move from ambiguity to a solution
• Comfortable working in a team-oriented, collaborative environment
• Good communication and interpersonal skills
• Ability to work effectively in a fast-paced environment with tight schedules and target dates as part of a high-performing team
• Healthcare data domain knowledge including EDI standards, authorization, claims, DRG, diagnosis and other related taxonomies applicable in claims / clinical workflow is preferred
• Aglie process experience including scrum and kanban frameworks is preferred
• Test automation experience supporting warehouse / ETL data flows is preferred
• Exposure to big data technologies (NoSQL) and machine learning tools, including R and Python is preferred
• Up to 10% travel, as needed

About naviHealth

naviHealth is improving the healthcare experience for seniors to live more fulfilling lives. For nearly a decade, naviHealth has been a trusted partner for the nation’s top health plans, health systems, and at-risk physician groups navigating the shift from volume to value. Powered by a predictive technology and decision support platform that provides clinicians and care teams with evidence-based protocols, naviHealth’s high-touch, proven care model fully supports patients from pre-acute through to the home. With naviHealth, patients can enjoy more days at home, and healthcare providers and health plans can significantly reduce costs specific to unnecessary care and readmissions. For more information about naviHealth, visit navihealth.com.