Engineer, Quality Engineering

4 weeks ago

Gurgaon, Haryana, India Axa XL Full time
Job Description

What will your essential responsibilities include

- Possess excellent domain knowledge of Data warehousing technologies, SQL, Data Models to develop test strategies, approaches from a Quality Engineering perspective.
- In close coordination with Project teams, help lead all efforts from a 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 a 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 alignment with the 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.

Required Skills and Abilities:

- A minimum of a bachelor's 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.

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