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2 - 6 years

4 - 8 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Description

Quality Engineer Bangalore/ Gurgaon, India AXA XL offers risk transfer and risk management solutions 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 advantage Our Chief Data Office is focused on driving innovation through 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 greater focus on the use of data and data-driven insights, we are seeking an Engineer for the Quality Engineering team The Engineer sits next to our Business Partners and tests our AXIOM platform according to our stakeholders needs What you ll be DOING 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 What you will BRING 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 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

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