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Data Engineer
hace 2 meses
Responsibilities:
* Design and develop ETL processes for new data sets, ensuring thorough validation and data quality checks.
* Maintain and operate data processes, ensuring smooth and effective process flow.
* Collaborate with our Analytics team to guarantee data processing aligns with specifications.
* Develop and maintain data visualizations using tools like PowerBI or Tableau.
* Stay up-to-date with industry trends and best practices in data engineering.
Requirements:
* 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 (e.g., 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.
If you're passionate about data engineering and want to work with a talented team, we encourage you to apply.
At Verisk, we value learning, caring, and results. We're an equal opportunity employer and welcome applications from diverse candidates.
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