Engineer, Quality Engineering

DISCOVER your opportunity What will your essential responsibilities include? Possess excellent domain knowledge of Data warehousing technologies, SQL, Data Models to develop test strategies, approaches from Quality Engineering perspective. In close coordination with Project teams help lead all efforts from Quality Engineering perspective. Work with data engineers or data scientists to collect and prepare the necessary test data sets. Ensure the data adequately represents real-world scenarios and covers a diverse range of inputs. Excellent domain knowledge of Data warehousing technologies, SQL, Data Models to build out test strategies and lead projects from Quality Engineering perspective. With an Automation-first mindset, work towards testing of user interfaces such as Business Intelligence solutions and validation of functionalities while constantly looking out for efficiency gains and process improvements. Triage and Prioritization of stories and epics with all stakeholders to ensure optimal deliveries. Engage with various stakeholders like Business Partners, Product Owners, Development and Infrastructure teams to ensure alignments with overall roadmap. Track current progress of testing activities, finding and tracking test metrics, estimating and communicating improvement actions based on the test metrics results and the experience. Automation for processes such as Data Loads, user interfaces such as Business Intelligence solutions and other validations of business KPIs. Adopt and implement best practices towards Documentation of test plan, cases, results in JIRA. Triage and Prioritization of defects with all stakeholders. Leadership accountability for ensuring that every release to customers is fit for purpose, performant. Knowledge on Scaled Agile, Scrum or Kanban methodology. You will report to Lead UAT. SHARE your talent Were looking for someone who has these abilities and skills: Required Skills and Abilities: A minimum of a bachelors or master's degree (preferred) in a relevant discipline Relevant years of excellent testing background, including knowledge/experience in automation. Insurance experience in data, underwriting, claims or operations, including influencing, collaborating, and leading efforts in complex, disparate, and interrelated teams. Excellent Experience with SQL Server, Azure Databricks Notebook, PowerBI, ADLS, CosmosDB, SQL DW Analytics. Should have a robust background in Software development with experience in ingesting, transforming, and storing data from large datasets using Pyspark in Azure Databricks with robust knowledge of distributed computing concepts. Hands-on experience in designing and developing ETL Pipelines in Pyspark in Azure Databricks with robust python scripting. Desired Skills and Abilities: Having experience doing UAT/System Integration testing in the insurance industry Excellent technical testing experience such as API testing, UI automation is a plus. Knowledge/Experience of Testing in cloud-based systems in different data staging layers