Job Seekers, Please send resumes to resumes@hireitpeople.com
Must Have Skills:
- Exp. in Snowflake Cloud Tool
- Exp. in Property and Casualty (P&C) Insurance
- Exp. in Data Vault
- Exp. in Big Data Modelling
Required:
- Bachelor s degree or equivalent
- 5-10 years of overall industry experience
- Min. 3 years extensive exp. in Insurance specifically P&C
- Min. 3 years hands-on experience with data modelling Big Data based analytics platforms
- Expert knowledge of metadata management and related tools.
- Strong analytical thinking and problem-solving skills
- Excellent verbal, written and interpersonal skills
- MS Azure and Snowflake or other cloud platforms
Detailed Job Description:
- Should be self-driven, innovative and research oriented, develops solutions tailored to addressing specific problems/ needs
- Should be able to identify the client / market needs and propose impactful solutions
- Should be aware of best practices specific to Insurance
- Should have very good understanding of SDLC, data modelling and data management
- Should be adept in agile execution methodologies
- Should be a good team player and possess capability to lead a team of data modelers
- Participates in pre-sales activities, business proposals, discussions with clients and anchors client visits as SME.
- Provide insight to new and emerging best practices in the industry and provide innovative solutions to industries common data problems.
- Participates in proof of concept executions, architecture discussions and validates complex technical solution when required
Job Responsibilities:
- Analyzing and translating business needs into long-term solution data models.
- Evaluating existing data systems.
- Working with the development team to create conceptual data models and data flows.
- Developing best practices for data coding to ensure consistency within the system.
- Implementing data strategies and developing physical data models.
- Updating and optimizing local and metadata models.
- Evaluating implemented data systems for variances, discrepancies, and efficiency.
- Troubleshooting and optimizing data systems.
Minimum years of experience required: 10+
