Neptune Retail Solutions
Neptune Retail Solutions is a leading marketing company that specializes in connecting consumers through every step of their shopping journey by integrating the largest in-store media, digital incentives, and digital out-of-home (DOOH) networks in North America. The company leverages its expansive network to offer unmatched growth by providing billions of exclusive consumer touchpoints and activations. With exclusive retailer access, flexible incentive formats, premium near-store inventory, and high-impact digital media, Neptune Retail Solutions offers services such as data-driven campaign strategies and creative design to drive consumer action and sales. Their proprietary technology platforms, like Polaris and the Promotions Intelligence Platform, ensure effective campaign planning, execution, and measurement.
Software QA Engineer
March 5
Neptune Retail Solutions
Neptune Retail Solutions is a leading marketing company that specializes in connecting consumers through every step of their shopping journey by integrating the largest in-store media, digital incentives, and digital out-of-home (DOOH) networks in North America. The company leverages its expansive network to offer unmatched growth by providing billions of exclusive consumer touchpoints and activations. With exclusive retailer access, flexible incentive formats, premium near-store inventory, and high-impact digital media, Neptune Retail Solutions offers services such as data-driven campaign strategies and creative design to drive consumer action and sales. Their proprietary technology platforms, like Polaris and the Promotions Intelligence Platform, ensure effective campaign planning, execution, and measurement.
📋 Description
• Analyze data for accuracy, completeness, consistency, and validity across different data sources. • Identify data anomalies, outliers, and inconsistencies. • Design and execute comprehensive data quality test plans for data pipelines, ETL processes, data warehouses, analytics front-end and API applications. • Develop test cases to validate data integrity against defined business rules and quality standards. • Continuously monitor data quality metrics to identify trends and emerging issues. • Generate detailed reports on data quality issues, root causes, and corrective actions. • Work closely with data engineers, and other stakeholders to identify and resolve data quality issues and support the on-time delivery of data engineering projects. • Utilize data quality tools and automation frameworks to streamline testing processes. • Develop and maintain automated data quality checks and validation scripts.
🎯 Requirements
• 3-5 years of relevant experience in QA • Strong hand on experience in ETL Testing, Report Testing, UI Testing, API Testing, Automation, SQL, Python. • UI/UX/API testing experience is a plus.
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