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Data Engineer
hace 2 meses
We are seeking a highly skilled Data Engineer to join our Underwriting Solutions team. As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data pipelines and systems.
Key Responsibilities- Data Pipeline Development: Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
- Data Quality and Validation: Develop and implement data quality checks and validation processes to ensure data accuracy and integrity.
- Collaboration with Cross-Functional Teams: Work closely with our Analytics team to ensure data processing aligns with business requirements and specifications.
- Automation and Scalability: Design and implement automated processes to improve data processing speed and scalability.
- Database Management: Manage and maintain our relational and NoSQL databases, ensuring data consistency and performance.
- 3-5 years of experience in a data management role, including developing ETL pipelines, preferably within the AWS ecosystem.
- Proficiency in Relational Database Management Systems (RDBMS), SQL, NoSQL (DynamoDb, Redshift) with over 3 years of experience.
- Experience with third-party data vendors and data handling, including validation and quality control processes.
- Strong understanding of automation for processing scalability and speed.
- University degree in Information Technology or a related field.
Verisk is a leading data analytics and technology partner to the global insurance industry. We empower communities and businesses to make better decisions on risk, faster. Our Underwriting Solutions team is dedicated to providing innovative solutions to the insurance industry.
