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Data Engineer
hace 2 meses
We are seeking a highly skilled Data Engineer to join our team at Verisk. As a Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using AWS services and various database technologies.
Key Responsibilities- Design and implement ETL processes for new data sets, ensuring thorough validation and data quality checks.
- Develop and maintain data processes, collaborating with the broader development team to enhance processes.
- Extract data for potential customers to evaluate models, ensuring data accuracy and integrity.
- Collaborate with the Analytics team to guarantee data processing aligns with specifications.
- Develop and maintain data pipelines, ensuring scalability and speed.
- 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.
- Skilled in defining data process improvements and requirements.
- Broad knowledge of AWS Cloud services (, AWS Batch, Lambda, Step Functions, S3/Event); AWS certification is a plus.
- Over 2 years of experience in data engineering and building ETL pipelines.
- Proficiency in Python and/or.NET programming, or similar, with experience interfacing with RDBMS.
- Experience with visualization tools (PowerBI/Tableau).
- Strong understanding of automation for processing scalability and speed.
- Experience in data handling, including validation and quality control processes.
- University degree in Information Technology or a related field.
At Verisk, we offer a dynamic and challenging work environment, with opportunities for professional growth and development. We are committed to providing our employees with the resources and support they need to succeed.
