Data Quality Engineer, Senior

2 months ago

Oakland, United States Blue Shield of California Full time

Your Role

The Data Services Quality Engineering team is part of the BSC Data & Analytics Organization. We provide testing services for Data & Analytics projects. The data is sourced from various internal and external applications and loaded to the consumption layer. The Quality Engineer, Senior, will report to the IT Manager. In this role you will be working with Data & Analytics, Data Engineering, Data Analysis, Application, and Business teams.

 

Your Work

In this role, you will:

  • Develop test scenarios and underlying test scripts (Functional and SIT) based on provided requirements/design documentation and business input
  • Attend requirement sessions and evaluates requirements for testability
  • Create traceability from development hand off through testing
  • Participate in design sessions to understand implications of design to testing 
  • Provide test estimates for large initiatives as requested under the guidance of testing leadership
  • Review Business Requirement Document (BRD), Technical Design Document (TDD), Data Model, Source-to-target mapping document (STTM)
  • Prepare Test Plans, Test Scenarios, Test Data, Test Cases, Test Scripts based on BRD, TDD, STTM
    Review test artifacts with business users and technical team
  • Maintain test cases in test management system and track defects in JIRA
  • Conduct daily defect calls with IT PM, Development team and Business team
  • Provide test reports/status to Test Lead, IT PM and discuss roadblocks if necessary
  • Perform root-cause analysis for the defects/issues and provide solution if required
  • Follow best practices and maintain quality assurance standards
  • Work closely with cross-functional counterparts in business, development, release and project management
  • Have proficiency working in Agile methodology
  • Provide overall technical leadership across multiple projects simultaneously
  • Have thorough understanding of automation frameworks and ability to design, develop and maintain automation framework
  • Execute and maintain test scripts in the automation framework for regression and smoke testing of various BSC applications
  • Have the ability at applying advanced professional principles and concepts to complex work assignments
    Participate and present in automation code reviews
  • Assess suitability of manual test cases for automation

 

Your Knowledge and Experience

  • Requires a bachelor's degree, preferably in Computer Science, or equivalent experience and a minimum of 5 years of prior relevant experience
  • 5 years of Quality Engineering experience, with 4 years of experience in Data Warehousing preferred
  • Prefers at least 1 year of experience in Cloud Data Platform Testing with Azure Data Lake Storage (ADLS) Gen2 and data pipeline development using DBT Cloud/Core tool on Snowflake DB
  • Knowledge of ETL processes, Relational Database Design Methods (Snowflake/Star Schema), Slowly Changing Dimensions etc.
  • Ability to analyze error logs in UNIX, update shell scripts, and create SQL scripts
  • Ability to perform automated regression testing in all non-production environments
  • Excellent written and oral communication skills
  • Healthcare domain experience is preferable but not required
  • Preferred experience working on at least one large data warehouse project/initiative
  • Hands-on experience in using Informatica or similar ETL tool
  • Analyzing and writing testing cases based on ETL specifications/ Source-to-Target Mapping documents
  • Knowledge of data & analytics in cloud
  • Demonstrate a mindset of continuous improvement in process/technology etc.
  • Experience with coding in python or any other object-oriented programming language is preferred

 

Pay Range 

The pay range for this role is: $ 99000.00 to $ 148500.00 for California.

 

Note 

Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles.

 

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