About CyberCube:
with a >99% retention rate.
As part of the Data Engineering team, you will be responsible for expanding and optimizing our data and pipeline architecture and data flow and collection for cross-functional teams. The Python Engineer will support our software developers who are in the Estonian office, and the data team on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.
Responsibilities
- Design and develop Python & SQL based data pipeline solutions
- Support application deployments
- Create quality checks for ingested and post processed data
- Ensure alerting and monitoring of automated pipeline solutions
- Participate in the estimation process for new work and releases
- Maintain and enhance existing applications
- Bring new perspectives to problems
Requirements
- 3+ years of proven professional Python and SQL development experience
- Experience working with Data Manipulation python libraries like Pandas, Numpy
- Experience creating ETL Pipelines using Python, SQL, Relational/ Non-Relational databases
- Experience working with Structured, Semi-Structured datasets, APIs to query data from different sources
- Experience with Cloud Technologies & Services (AWS, Azure, GCP etc.)
- Understanding of CI/CD
- Understanding of Object Oriented Principles
What We Do
CyberCube is a SaaS technology company, developing world-leading cyber risk analytics and modeling to help society understand the financial impact of cyber risk. We enable society to make better decisions about which digital risks to avoid, mitigate or insure as internet-connected technologies change the nature of risk in the 21st Century.
CyberCube delivers world-class insight-driven analytics, built specifically for the insurance ecosystem. We’re helping our customers all over the world use our data and analytics applications to enable insurance placement, underwriting decisions, and portfolio management optimization. We help power insight-driven decisions to grow cyber insurance in a sustainable, profitable way.
We help the cyber insurance market to grow profitably through the use of our world-leading cyber risk analytics.
We give insurers the ability to take insight-driven risk decisions, see trends before they become claims and tackle complex and important challenges.
The combined power of our unique data, multi-disciplinary analytics and cloud based technology helps with insurance placement, underwriting selection and portfolio management optimization.
Our deep bench of experts from data science, security, threat intelligence, actuarial science, software engineering and insurance helps the global insurance industry by selecting the best sources of data and curating it into data sets to identify trustworthy early indicators of risks and build a forward-looking view of them.
Why Work With Us
Our supportive and respectful environment increases the participation and contribution of all employees, with personal development and inclusion being priorities. We deeply care about the wellbeing of our employees and strive for a fun and healthy environment where you'll be able to roll your sleeves up and learn with like-minded talented people.
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