Insight Global
Job Description
Project Overview: This role supports a critical data migration initiative, testing the transition from a legacy application to a modernized platform. The engineer will be the sole Data QA resource, ensuring data integrity and dashboard accuracy throughout the migration.
Key Responsibilities:
Execute end-to-end testing of ETL pipelines and data warehouse migrations
Monitor and troubleshoot scripts across AWS environments
Validate QuickSight dashboards and reporting accuracy
Collaborate with engineering and leadership to ensure seamless data flow and visibility.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Hands-on experience with AWS services: Redshift, S3, Glue, Lambda, CloudWatch, EventBridge, Batch Jobs, QuickSight
Strong SQL expertise (joins, subqueries, analytical functions)
Proficiency in RDBMS (MySQL, Oracle SQL) and SSIS
Familiarity with UNIX commands for log analysis and job monitoring. Experience with RedShfit.
Experience writing test automation scripts for data pipelines Experience automating data testing using AI/ML tools
CI/CD pipeline integration for test automation null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
Project Overview: This role supports a critical data migration initiative, testing the transition from a legacy application to a modernized platform. The engineer will be the sole Data QA resource, ensuring data integrity and dashboard accuracy throughout the migration.
Key Responsibilities:
Execute end-to-end testing of ETL pipelines and data warehouse migrations
Monitor and troubleshoot scripts across AWS environments
Validate QuickSight dashboards and reporting accuracy
Collaborate with engineering and leadership to ensure seamless data flow and visibility.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Hands-on experience with AWS services: Redshift, S3, Glue, Lambda, CloudWatch, EventBridge, Batch Jobs, QuickSight
Strong SQL expertise (joins, subqueries, analytical functions)
Proficiency in RDBMS (MySQL, Oracle SQL) and SSIS
Familiarity with UNIX commands for log analysis and job monitoring. Experience with RedShfit.
Experience writing test automation scripts for data pipelines Experience automating data testing using AI/ML tools
CI/CD pipeline integration for test automation null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.