Key Responsibilities:
- Able to Design and propose high level design diagrams for overall system architecture
- Lead Inception Sessions to build consensus on project scope, and generate user stories with acceptance criteria.
- Work with the PMO providing domain expertise to achieve successful project outcomes.
- Lead efforts to harvest project collateral to build out collateral to enable repeatability.
- Create new tooling to streamline data processing when called upon or when the opportunity presents itself
- Systematic problem-solving approach, coupled with a sense of ownership and drive
- Ability to work independently in a fast-paced Agile environment
Qualifications:
- Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency, and 8 years + in a technical capacity building out complex ETL Data Integration frameworks.
- 5 + years of Experience with data processing and ETL (Extract, Transform, Load) and ELT (Extract, Load, and Transform) concepts.
- At least 3 years of experience leading design review sessions to build consensus among diverse groups of technical and business participants.
- At least 3 years in a leadership capacity for delivering complex data transformation initiatives including mentoring and team building.
- Experience working with relational and/or NoSQL databases
- Experience working with different cloud platforms (such as AWS, Azure, Snowflake, Google Cloud, etc.)
- Experience working with customer teams to understand business objectives and functional requirements.
- Familiarity in Change Data Capture (CDC) frameworks
- Ability to work independently and within a team.
- Flexibility to work shifts as needed to align with AMER/APAC Colleagues/Customers
Nice to have:
- Insurance industry experience
- Experience with AWS Glue
- Experience with the Azure data factory
- Experience with the Guidewire Data Platform
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