QA Lead - Enterprise Data and Analytics

Sunnyvale, United States

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Job Description

Primary Function of Position:
Lead testing for Enterprise Analytics, Data, Business Intelligence and AI

Essential Job Duties

  • Testing Lead for Enterprise Analytics, Data, Business Intelligence and AI Testing
  • Work with Business users closely to understand the complexity in Data quality validation requirements
  • Lead QA Engineers for Testing Snowflake pipeline, ETL activities/projects
  • Write SQL queries to perform backend testing and ETL validation
  • Experience in testing Tableau and Reports.
  • Experience in testing BI systems and data analysis processes, including ETL processes
  • Strong understanding of data analysis and visualization
  • Strong expertise in data testing such as  pre-screening raw data, vital check on completeness ,integrity of data, field tests on Aggregation , Reconciliation tests, Report and App testing
  • Work with business users, systems analysts, designers and programmers to create and analyze requirements and deliver required project documents test strategy, testing scope and test cases.
  • Knowledge of Snowflake, Azure Databricks
  • Create Test case, Execute Test case.
  • Execute end-to-end testing of ETL processes, including data extraction, transformation, loading, and reporting, to ensure accuracy, completeness, and data integrity.
  • Experience supporting enterprise data including master data in SAP
  • Publish test results and defects during UAT phase to business users.
  • Define opportunities for QA team and support technical clarification  and oversee test automation.
  • This job is On-site in Sunnyvale, CA, 3 days weekly.

 

Qualifications

Required Skills and Experience

  • 7 to 10 years of experience in data modeling, data analysis, data warehousing, ETL, and database testing.
  • At least 2-3 years in a  supervisory position
  • Exceptional analytic and organization skills
  • Proven written and oral communication skills.
  • Proven individual contributor with demonstrated ability to work autonomously.
  • Experience identifying changes, driving improvements, and streamlining processes.
  • Strategic mindset with exceptional leadership and influencing skills.
  • Proven ability to develop and coach engineers at various experience levels.
  • Ability to manage multiple projects/deadlines with changing priorities.
  • Experience presenting to senior management & executive-level audiences.

Required Education and Training

  • Minimum B.S. in in Computer Science, IT, Analytics or a related discipline

Preferred Skills and Experience 

  • Experience in automation tools such as TOSCA Data Integrity, Data Gaps or similar tool for data quality testing

Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Azure Business Intelligence Computer Science Data analysis Databricks Data quality Data Warehousing ETL Snowflake SQL Tableau Testing

Perks/benefits: Competitive pay Equity / stock options

Region: North America
Country: United States

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