FBS Data Engineer with QA Automation

Overview

Data engineering role combining data acquisition, curation and publishing with QA automation for P&C insurance data projects, translating business analytics requests into design, development, testing and maintenance tasks.

What you'll do

• Consult on data projects of intermediate complexity to understand design requirements and existing business processes, and lead design, development and implementation of data products.
• Practice code management and integration with current architectural and data governance guidelines.
• Produce data building blocks, data models and data flows for dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting and data science exploration.
• Create business user access methods to structured and unstructured data.
• Use techniques such as mapping data to a common data model, natural language processing, transforming data to satisfy business rules, AI, statistical computations and data validation.
• Translate business data stories into technical story breakdown structures and work estimates for a schedule or planned agile sprint.
• Develop and maintain moderately complex scalable data pipelines for streaming and batch requirements and build new API integrations.
• Prep and cleanse data to optimize for downstream reporting via standard visualization or AI/ML tools.
• Execute mid-size projects and large tasks within timelines and develop data project plans.

What you'll need

• IT QA/testing experience - Advanced.
• P&C insurance domain experience - Advanced.
• QA Automation - Advanced.
• SQL - Intermediate.
• Guidewire - Intermediate.
• Git, Jira/Azure DevOps, and Agile delivery - Intermediate.
• Python - Intermediate (4-6 years).
• Pytest, Selenium, Playwright, or similar tools - Intermediate (4-6 years).
• Blue Prism or similar tools for RPA - Intermediate (4-6 years).
• Snowflake - Intermediate (4-6 years).

Details

• Locations: Hyderabad, Telangana, India; Pune, Maharashtra, India.
• Flexible work arrangements (remote and/or office-based).