Purple Drive
Position Summary
The SDET Software Development Engineer in Test 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 10 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 skill 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
The SDET Software Development Engineer in Test 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 10 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 skill 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