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QA Data Engineer
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Jobs via Dice . job summary: We are seeking a highly skilled Quality Assurance (QA) Data Engineer to join our Enterprise Data Platform (EDP) Delivery teams. This role involves developing and implementing test strategies, ensuring data accuracy, application performance and integrity, and optimizing data pipelines within the Google Cloud Platform ecosystem. The ideal candidate will have a strong background in data engineering, test automation, and cloud technologies, with expertise in SQL and general understanding of BigQuery and Dataflow. Familiarity with LL Bean data and business processes, along with proficiency using software management and collaboration tools such as Jira, Confluence, and SharePoint. location: Telecommute job type: Contract salary: $60 - 62 per hour work hours: 8am to 5pm education: No Degree Required Responsibilities
Partner with Data Engineers, Analysts, and business stakeholders to define quality requirements. Document test cases, data validation rules, and best practices for scalable data governance. Develop and implement test cases for ETL/ELT pipelines, data transformation, and ingestion processes. Perform data validation, execute test cases (manual or automated) and analyze results. Regression testing ensures sufficient error validation is present. Reconcile variances and data anomalies to ensure high-quality data. Validate data transformations and ingestion processes for structured and unstructured data. Monitor and troubleshoot data issues, failures, and inconsistencies across the pipeline. Provide support for root cause analysis and resolution of data-related defects, including the identification of code changes. Document and track defects, providing detailed reports to development teams for resolution. Participate in the design and implementation of automated testing scripts to improve testing efficiency. Conduct regression testing to ensure that new code changes do not adversely affect existing functionality. Perform post-release and post-implementation validation of software performance in production environments. Continuously monitor and evaluate the quality of software deliverables, providing feedback for improvement opportunities. Collaborate with end users to gather feedback. Qualifications
Must-Have: 3-5+ years of experience in data engineering, data testing, or quality assurance. Strong proficiency in advanced SQL, and data validation frameworks (test strategies). Familiarity with Google Cloud Platform data services (BigQuery, Dataflow, Dataproc, Cloud Storage) and Python. Familiarity with automated testing frameworks for data (e.g., Great Expectations, dbt tests). Able to be hands-on with data and create test cases for stated requirements. Experience working with and integrating Retail Data. Nice-to-Have
Familiarity with LL Bean data and business processes. Understanding data concepts, including storage, retrieval and analysis. An understanding of ETL/ELT processes, data modeling, and schema design. Strong understanding of software development and testing methodologies. Excellent analytical and problem-solving skills. Attention to detail and ability to document defects accurately. Highly collaborative. Effectively works with cross-functional teams for the support and performance of the EDP and packaged applications. Strong understanding of project management methodologies, including Agile and Waterfall. Effective communication skills, both written and verbal, to collaborate with cross-functional teams. Familiarity with programming languages (e.g., Java, Python) and scripting for automated testing. Ability to work independently and manage multiple tasks simultaneously. Google Cloud Platform or other relevant certification in software testing. Equal Opportunity
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact us. Posting details
This posting is open for thirty (30) days.
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QA Data Engineer
role at
Jobs via Dice . job summary: We are seeking a highly skilled Quality Assurance (QA) Data Engineer to join our Enterprise Data Platform (EDP) Delivery teams. This role involves developing and implementing test strategies, ensuring data accuracy, application performance and integrity, and optimizing data pipelines within the Google Cloud Platform ecosystem. The ideal candidate will have a strong background in data engineering, test automation, and cloud technologies, with expertise in SQL and general understanding of BigQuery and Dataflow. Familiarity with LL Bean data and business processes, along with proficiency using software management and collaboration tools such as Jira, Confluence, and SharePoint. location: Telecommute job type: Contract salary: $60 - 62 per hour work hours: 8am to 5pm education: No Degree Required Responsibilities
Partner with Data Engineers, Analysts, and business stakeholders to define quality requirements. Document test cases, data validation rules, and best practices for scalable data governance. Develop and implement test cases for ETL/ELT pipelines, data transformation, and ingestion processes. Perform data validation, execute test cases (manual or automated) and analyze results. Regression testing ensures sufficient error validation is present. Reconcile variances and data anomalies to ensure high-quality data. Validate data transformations and ingestion processes for structured and unstructured data. Monitor and troubleshoot data issues, failures, and inconsistencies across the pipeline. Provide support for root cause analysis and resolution of data-related defects, including the identification of code changes. Document and track defects, providing detailed reports to development teams for resolution. Participate in the design and implementation of automated testing scripts to improve testing efficiency. Conduct regression testing to ensure that new code changes do not adversely affect existing functionality. Perform post-release and post-implementation validation of software performance in production environments. Continuously monitor and evaluate the quality of software deliverables, providing feedback for improvement opportunities. Collaborate with end users to gather feedback. Qualifications
Must-Have: 3-5+ years of experience in data engineering, data testing, or quality assurance. Strong proficiency in advanced SQL, and data validation frameworks (test strategies). Familiarity with Google Cloud Platform data services (BigQuery, Dataflow, Dataproc, Cloud Storage) and Python. Familiarity with automated testing frameworks for data (e.g., Great Expectations, dbt tests). Able to be hands-on with data and create test cases for stated requirements. Experience working with and integrating Retail Data. Nice-to-Have
Familiarity with LL Bean data and business processes. Understanding data concepts, including storage, retrieval and analysis. An understanding of ETL/ELT processes, data modeling, and schema design. Strong understanding of software development and testing methodologies. Excellent analytical and problem-solving skills. Attention to detail and ability to document defects accurately. Highly collaborative. Effectively works with cross-functional teams for the support and performance of the EDP and packaged applications. Strong understanding of project management methodologies, including Agile and Waterfall. Effective communication skills, both written and verbal, to collaborate with cross-functional teams. Familiarity with programming languages (e.g., Java, Python) and scripting for automated testing. Ability to work independently and manage multiple tasks simultaneously. Google Cloud Platform or other relevant certification in software testing. Equal Opportunity
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact us. Posting details
This posting is open for thirty (30) days.
#J-18808-Ljbffr