Vacancy expired!
Job Description
Our Data Engineering team is looking for a Senior Engineer with deep expertise in cloud data technologies and automation. You will be developing data acquisition, data cataloging and deliver systems where speed of deliver of data is of crucial importance You will work in a highly collaborative, global environment of data scientists, data analyst, domain experts and business leaders to deliver data products that have impact on global energy trading markets. You will have the opportunity to lead other Data Engineers across a range of projects.
Responsibilities:
- Design, develop, and implement data infrastructure and pipelines that collect, connect, centralize, and curate data from various internal and external data sources.
- Create automation systems and tools to configure, monitor, and orchestrate our data infrastructure and our data pipelines.
- Evaluate new technologies for continuous improvements in Data Engineering.
- Collaborate closely with the product/applications teams to build out new data products.
- Work with data scientists and data analysts to implement descriptive, forecasting and predictive algorithms and models using the latest technologies.
- Bring an entrepreneurial mindset, openness, transparency, and collegiality to your everyday work.
- BS in Computer Science or related degrees.
- Strong coding skills in one or more modern programming languages, Python preferred, but Java or C# are acceptable.
- 2+ years of experience with data engineering or similar experience,
- Experience with developing backend subsystems of large web applications or complex ETL processing systems.
- Fluency with SQL and Relational Databases, like PostgreSQL, SQL Server, etc.
- DevOps mindset, experience with continuous integration and automation tools and processes, like TeamCity/Jenkins/Bamboo.
- A strong desire to build meaningful solutions for a life sciences business.
- Task oriented with ability and experience of completing deliverables on schedule
- Ability to work closely with a team of technical and non-technical individual contributors, in multiple geographic locations.
Nice-to-haves:
- Experience with Apache Spark, Apache Beam or related distributed processing frameworks.
- Experience with Microsoft Azure or Amazon AWS cloud services.
- Experience with Apache Airflow or related workflow scheduling products.
- Experience with developing microservices with Docker and Kubernetes to serve machine learning models.
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
http://www.verisk.com/careers.html
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Additional Information
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
http://www.verisk.com/careers.html
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Vacancy expired!