Data Engineer
W0DE2
Job Description
Mission:
To build a data platform to help our researchers and data scientists to quickly and accurately answer to the world’s hardest questions depend on quantitative research. 🙂
If you have experience in shipping scalable software solutions working with large data and throughput volumes and you can quickly learn new and emerging technologies – scroll down and learn more!
As a Data Engineer you will contribute to the full development lifecycle from data to pipelines and to support our colleagues in Data Science and Research teams.
What will you do
- Work closely with our CTO, Software and Data engineers, researchers and data scientists on
- building robust data pipelines of high data quality in a scalable fashion (both data and maintainability)
- creating ETL data flows in Big Data Ecosystem
Qualifications
What will you need
- 3+ years of data engineer or software engineering experience
- Graduate degree in a quantitative or analytical field with material exposure to coding
- Fluent English
And
- Good communication skills
- Detail-oriented, ability to multitask and work in a fast-paced environment
- Ability to work independently while also being a strong team player
Advantage:
- Flask and Machine Learning and AI experience
Technologies:
Must haves:
- Python (data-processing, platform and runtime)
- SQL
- Spark/Apache Drill/Athena and similar
Advantage:
- AWS ecosystem (Fargate, S3, SQS, SNS, Lambda, RDS)
- Docker (containers)
- Zookeeper (management)
- NGINX (load balancer)
- Ansible ( application deployment)
- Jfrog Artifactory (Repository Manager)
- CircleCI (Continuous Integration)
- Log and APM tools
- MongoDB and Redis (NoSQL)
- PostgreSQL
Additional Information
What can we offer:
- The chance to solve the most pressing challenges on a global scale
- Professional development: books, online training
- Opportunity to attend or speak on conferences
- Opportunity for travel
- Flexible working hours
- Home office opportunity
- Healthcare benefit package
- Eye-glasses allowance
- Excellent salary and compensation package
- You can choose your working tools (Mac or Windows)
- Relocation allowance
Place of work: Budapest