[Remote] QA Data Analyst with Google Cloud Platform

Note: The job is a remote job and is open to candidates in USA. Dice is the leading career destination for tech experts at every stage of their careers. Our client, Valcan IT Inc, is seeking a highly skilled Quality Assurance (QA) Data Engineer to join their Enterprise Data Platform (EDP) Delivery teams, focusing on developing and implementing test strategies to ensure data accuracy and optimize data pipelines within the Google Cloud Platform ecosystem. 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. Skills • 10+ Years of experience • 7+ 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 (Big Query, 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. • Familiarity with organization s data and business process. • Understanding data concepts, including storage, retrieval and analysis. • An understanding of ETL/ELT processes, data modeling, and schema design. Company Overview • Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want. It was founded in undefined, and is headquartered in , with a workforce of 0-1 employees. Its website is Apply tot his job