Our Client risk scores and predictive insights set the world’s supply chain standard, helping global companies turn supply chains into business-changing, market-shifting, competition-crushing assets. Removing the traditional blinders of one-dimensional data, they offer more complete information, sharper analysis, and accurate predictions. Companies like Google, Schneider Electric, Unilever, and Campbell’s rely on them to push their supply chains to be faster, smarter, leaner, and more sustainable. They have over 15 years experience in the Supply Chain biz. They operate around the world with teams in a dozen countries. They are data, procurement, supply chain, logistics, and weather nerds. From market innovators to leading venture capital firms, their investors are committed to the goal of helping the world’s largest companies build a better supply chain.

Responsibilities:
? Collaborate with cross-functional teams to ensure quality and timely delivery of products.
? Identify areas of improvement in data quality processes and propose solutions to enhance data accuracy and reliability and create test strategies.
? Collaborate with the Data Delivery technology teams and architects to define and develop solutions.
? Collaborate with data engineering and development teams to implement data quality
best practices and optimize data workflows.
? Develop and execute Data Quality frameworks, solutions and automated test cases for
software applications to ensure the reliability of data pipelines and data
transformations.
? End to end integration testing between multiple independent systems and interfaces (flat files, APIs (ETL)) etc.
? Utilize AWS services (EC2, Glue, Athena etc. to test data integration and migration processes.
? Conduct functional, integration, regression, and performance testing of database systems using industry standard technologies (SQL, NOSQL, Python, etc.)
? Create and maintain documentation of test plans, test cases and testing results, data quality issues, testing procedures, and resolutions.