Sr QAPosition SummaryThe Sr QA is responsible for ensuring the quality and reliability of ETL processes and data integration workflows This role involves designing and implementing automated tests to validate data transformation and migration as well as collaborating with data engineers and developers to identify and resolve data quality issues The ideal candidate will leverage their expertise in ETL testing and data validation to enhance the overall data pipeline performance and integrity Minimum QualificationAt least 8 years of IT experience with minimum 5 years of experience in below skillsTech SkillsProficiency in ETL Testing and developing automation framework testcases in atleast one scripting languageExperience in Pypark is MandatoryStrong SQL skills with experience in handling big data using ETL tools eg InformaticaTesting experience in cloud environment AWS s3Experience with Test Automation and DevOps practices in ETL and CloudExperience providing testing oversight in Agile teamShould have excellent business communication to interact with Business teams and crossfunctional teamsResponsibilitiesReview requirements specifications and technical design documents to understand and feedbackExperience in developing and implementing test strategies for complex initiativesEstimate prioritize plan and coordinate testing activitiesCreate automation test frameworkDesign develop and execute automation scriptsIdentify record document thoroughly and track bugsStrong problem solving skills troubleshooting and root cause analysis skillsPerform thorough regression testing when bugs are resolvedDevelop and apply testing processes for new and existing features to meet client needsLiaise with cross functional teams to identify system requirementsTrack quality assurance metrics like defect densities and open defect countsStay up to date with new testing tools and test strategies requirementsSupport and guide junior team members
Sr QA
Position Summary The Sr QA is responsible for ensuring the quality and reliability of ETL processes and data integration workflows This role involves designing and implementing automated tests to validate data transformation and migration as well as collaborating with data engineers and developers to identify and resolve data quality issues The ideal candidate will leverage their expertise in ETL testing and data validation to enhance the overall data pipeline performance and integrity
Minimum Qualification At least 8 years of IT experience with minimum 5 years of experience in below skills Tech Skills Proficiency in ETL Testing and developing automation framework testcases in atleast one scripting language Experience in Pypark is Mandatory Strong SQL skills with experience in handling big data using ETL tools eg Informatica Testing experience in cloud environment AWS s3 Experience with Test Automation and DevOps practices in ETL and Cloud Experience providing testing oversight in Agile team Should have excellent business communication to interact with Business teams and crossfunctional teams
Responsibilities Review requirements specifications and technical design documents to understand and feedback Experience in developing and implementing test strategies for complex initiatives Estimate prioritize plan and coordinate testing activities Create automation test framework Design develop and execute automation scripts Identify record document thoroughly and track bugs Strong problem solving skills troubleshooting and root cause analysis skills Perform thorough regression testing when bugs are resolved Develop and apply testing processes for new and existing features to meet client needs Liaise with cross functional teams to identify system requirements Track quality assurance metrics like defect densities and open defect counts Stay up to date with new testing tools and test strategies requirements Support and guide junior team members