Scientist Quality Engineering

Job Description

*AXA XL offers risk transfer and risk management answers to clients globally. We offer worldwide capacity, flexible underwriting solutions, a wide variety of client-focused loss prevention services, and a team-based account management approach.AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable enabling AXA XL s executive leadership team to maximize benefits and facilitate sustained enterprise advantage. Our Chief Data Office is focused on driving innovation by optimizing how we leverage data to drive strategy and create a new business model disrupting the insurance market.As we develop an enterprise-wide data and digital strategy that moves us toward a greater focus on the use of data and data-driven insights, we are seeking an Associate Scientist for the Quality Engineering team. The Associate Scientist sits next to our Business Partners and tests our AXIOM platform according to our stakeholder s needs. DISCOVER your opportunity What will your essential responsibilities include
• Support Functional and Regression testing for ETL and BI deliverables of the Data Warehousing Platform
  • Robust domain knowledge of Data warehousing technologies, SQL, and Data Models to build out test strategies and lead projects from a Quality Engineering perspective.
  • With an Automation-first mindset, work towards testing 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 make sure optimal deliveries.
  • Engage with various stakeholders like Business Partners, Product Owners, and Development and Infrastructure teams to make sure alignment 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.
• System Integration Testing background
  • Develop and execute test plans, scripts, and procedures for functional (IT), System Integration Testing (SIT).
  • Review testing documentation, develop testing standards, define criteria for testing, analyze test results, and present results to stakeholders.
  • Hands-on Experience in automation testing tools such as QTP /Selenium and development of automation framework.
  • Contribute to best practices and standards to make sure there is a consistent and efficient approach to quality engineering efforts.
  • Drive root cause analysis for identified data deficiencies within reusable data assets delivered via IDA.
  • Data Validation Testing of the data products in partnership with the business teams to make make sure the accuracy of the test data and validation of the requirements.
• Leadership accountability for ensuring that every release to customers is fit for purpose.
• Knowledge of Scaled Agile, Scrum, or Kanban methodology.
• Optimize the performance of projects using appropriate systems, tools, and techniques.
• Proven ability to drive Quality Assurance success via working together with cross-functional teams involving deep collaboration with engineering, design, and production partners.
• Foster communication between all team members/roles to facilitate analysis and to favor a common understanding of the requirements or the origin of defects.
• Outstanding capacity to understand a Quality Assurance vision that goes beyond pure testing activities and strategies.
• Develop Quality Assurance frameworks that empower internal/external teams to be held accountable for upholding quality standards and play an essential factor in decision-making
• Conduct requirements gathering, and risk identification, reporting on all risks followed by suitable mitigating action plans.
You will report to Delivery Lead Quality Engineering., * SHARE your talent We re looking for someone who has these abilities and skills: Required Skills and Abilities:
• • A minimum of a bachelor s or masters degree (preferred) in a relevant discipline.
  • 7 to 10 years of robust 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.
  • Work with unstructured data to unlock information needed by the business to create unique products for the insurance industry.
  • Expected to recommend innovation and improvement to policies, and procedures, deploying resources, and performing core activities.
  • Experience with SQL Server, Azure Databricks Notebook, Qlikview, PowerBI, ADLS, CosmosDB, SQL DW Analytics, and Jira/Confluence.
  • 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.
  • Excellent written and speaking communication skills with experience in successfully influencing others.
• Having experience doing UAT/System Integration testing in the insurance industry.
• Outstanding technical testing experiences such as API testing, and UI automation is a plus.
• Ability to interpret complex data requirements and architect answers.
• Distinctive problem-solving and analytical skills combined with effective business acumen.
• Knowledge/Experience of Testing in cloud-based systems in different data staging layers.
• Proven track record of value addition to the Product / Solutions through robust QA processes

Keyskills :
system integration testingequal employment opportunitytest datasql serverroot causeapi testingdata modelstesting tools