Roles:
Must-have skills:
Nice-to-have skills:
Considering candidates from:
Armenia, Austria, Croatia, Czech Republic, Georgia, Hungary, Kazakhstan, Poland, Romania, Serbia, Slovakia, Slovenia and Turkey
Armenia, Austria, Croatia, Czech Republic, Georgia, Hungary, Kazakhstan, Poland, Romania, Serbia, Slovakia, Slovenia and Turkey
Work arrangement: Onsite
Industry: Software Development
Language: English
Level: Middle or senior
Required experience: 2+ years
Relocation: Paid
Visa support: Provided
Size: 51 - 200 employees
Company
CyberCube delivers data-driven cyber analytics built specifically for the insurance industry. It is focused on solving the most difficult and important cyber risk challenges in insurance with world-class analytics.
The CyberCube platform was established in 2015 by Symantec to apply the cyber security company’s unique sources of data, intelligence and expertise to cyber insurance analytics and now operates as a standalone company with continued access to Symantec data and resources.
The CyberCube platform was established in 2015 by Symantec to apply the cyber security company’s unique sources of data, intelligence and expertise to cyber insurance analytics and now operates as a standalone company with continued access to Symantec data and resources.
Description
Now CyberCube is looking for an experienced Data Engineer to join their team onsite in Tallinn. You will be responsible for expanding and optimizing data and pipeline architecture and data flow and collection for cross-functional teams.
Tasks:
Tasks:
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- Build the infrastructure required for optimal extraction, transformation, and loading data from various sources using SQL and AWS ‘big data’ technologies
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes
- Work with stakeholders, including the Executive, Product, Data, and Platform teams, to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Work with data and analytics experts to strive for greater functionality in our data systems
Must-have:
- 5+ years of experience (at least 3 from them - as a Data Engineer)
- Experience with relational SQL and NoSQL databases, including MySQL and ElasticSearch, etc
- Experience with data pipeline and workflow management tools: Luigi, Airflow, etc
- Experience with big data technologies like Hadoop, Spark, Redshift, Athena
- Experience with visualization tools such as Grafana, QuickSight
- Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
Nice-to-have:
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience with data-driven applications and building platforms
- Experience working on cloud platforms such as AWS
Benefits and conditions:
- Trial period: 3 months
- Competitive salary and meaningful early-stage equity
- Company-paid learning and development assistance
- Vision and dental coverage
- Fully stocked kitchen and weekly catered lunches
- Extra vacation days during winter holidays
- Flexible working hours and the option to work from home when necessary
- Company-supported mentorship program
- Grow in a collaborative, respectful, and empathetic culture
Interview process:
- Intro call with Toughbyte
- Interview with the hiring manager (around 45 minutes)
- Technical call (around 45 minutes)
- Interview with the Data Engineer (around 45 minutes)
- Potentially one more round may be added