- LocationPune , India
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IndustryInsurance
Technical/Data Architect (Data Insights)
Location - Pune/Gurgaon/Noida/Bangalore
Experience- 10+ Years
Relevant Experience- 4 to 8 Years
NP - Immediate to 30 days
Responsibilities:
• Creates a conceptual design/architecture for large-scale data solutions
• Works closely with Product Owner and other project leaders to refine data-related backlog items for a project team
• Contributes to the creation of the overall solution concept or architectural direction for a project team, as it relates to data handling.
• Represents the data design/architecture decisions of a project team:
o In Solution Reviews
o In Sprint Reviews
o In Architecture Team Meetings
o In Quality Reviews
• Provides guidance and support to project team developers in the completion of stories against the data architecture.
• Carefully review updates and coding against the data layer for a project team.
• Designs, codes, and/or configures solutions for Agile stories with key data architectural impact.
• Should have strong hands-on knowledge of Duck Creek Insight product, SQL Server/DB level configuration, T-SQL, XSL/XSLT, MSBI etc
• Well-versed with Duck Creek Extract Mapper Architecture
• Strong understanding of Data Modelling, Data Warehousing, Data Marts, and Business Intelligence with the ability to solve business problems
• Strong understanding of ETL and EDW toolsets on the Duck Creek Data Insights
• Strong knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc
• Understanding of data related to business application areas policy, billing, and claims business solutions
Requirements:
• Total 10+ years of experience with a Minimum 4 to 7 year working experience on Duck Creek Insights product
• Strong Technical knowledge of SQL databases, MSBI
• Preferable having experience in the Insurance domain
• Preferable experience in Duck Creek Data Insights
• Experience specific to Duck Creek would be an added advantage
• Strong knowledge of database structure systems and data mining
• Excellent organizational and analytical abilities
• Outstanding problem solver
• Good written and verbal communication skills
• Working Experience in Agile methodology
• Should have good analytical Skills
• Should be able to work in a large team