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Python Engineer

CyberCube

CyberCube

Software Engineering
Tallinn, Estonia
Posted on Thursday, June 27, 2024
About CyberCube:
1) The market leader in digital analytics with the mission of delivering the world’s leading cyber risk analytics on one of the most critical risks of today and the future.
2) Exceptionally well-funded startup that has raised over $100MM of capital from top-tier investors that has no need for any additional capital in this current market environment
3) Explosive team growth (from 15 employees in SF to >100 people globally).
4) Explosive client base growth path with a >99% retention rate.
5) An incredibly diverse, collaborative, and high-performing team of insurance industry professionals, data scientists, and engineers who love working here.
6) CyberCube and its products win industry awards every year (eg. Cyber Risk Solution of the Year & Stress Scenario Software of the Year in 2023). We were recognized with 9 awards in 2022.
7) Senior leadership has a continuous commitment to team members doing the best work of their careers.
8) CyberCube is just a place where you can get things done!
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
CyberCube Analytics, Inc. is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.