Overview
Remote
Depends on Experience
Full Time
Skills
Amazon RDS
Amazon Web Services
Cloud Computing
Data Flow
Data Governance
Data Modeling
Guidewire
HIPAA
MongoDB
Python
Google Cloud Platform
SQL
Database
Microsoft Azure
Amazon S3
Job Details
Roles and Responsibility:
Data Modelling: Proficient in conceptual, logical, and physical data modelling techniques.
Cloud Database Technologies: Extensive experience with relational databases such as AWS RDS Oracle, RDS Postgres, as well as NoSQL databases including MongoDB and Document DB.
Cloud Platforms: Proficient with AWS, Azure, and Google Cloud Platform data services, including AWS S3, AWS DMS, Glue, Dataflow, and Cloud Storage.
Data Governance & Security: Well-versed in data privacy regulations, security best practices, and compliance standards like GDPR and HIPAA.
APIs & Integration: Experienced in designing and implementing data integration solutions using APIs and messaging systems.
Programming/Scripting: Skilled in SQL, Python, and similar programming languages.
Containerization & DevOps: Experienced with Docker, Kubernetes, and CI/CD pipelines for deployment automation.
Adept at troubleshooting data pipeline issues and optimizing data flows.
Strong understanding of data quality, validation, and error handling.
ETL/ELT Processes: Knowledgeable in data extraction, transformation, and loading processes and tools
Capable of working with large-scale, complex data sets and distributed systems.
Experience working with Guidewire implementations
Professional:
Demonstrated ability to immerse with Agile/Scrum Teams and participate in team ceremonies
Strong communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.