Position: Data Engineer
Company: GT
Experience required: 3y
English level: fluent

Project stage: They have developed an MVP that uses a novel and unique way of identifying companies to headhunt in, and who might be the relevant person in that organization.

You will work closely with the technology leadership team and help tackle the engineering challenge of reducing the research time by a factor of ten: from 30 days down to 3 days. Moreover, you are going to build beautiful cutting-edge products that will be used by some of the world’s biggest brands. In this way, helping them improve the quality of the senior executives they hire.

Essential skills and knowledge:

- 3+ years of experience in data engineering.
- Use of GCP Data tools such as DataProc, DataFlow, and DataStudio.
- Understanding of Kafka/Hadoop.
- Database design and structuring.
- Strong SQL skills.
- Strong Python skills.
- ETL processes, refactoring and automation.
- REST APIs.
- Machine Learning Modeling and Practices.
- Streamlining Raw data.
- Vendor discovery to find new data sources.
- Managing Data through Scale and Monitoring.
- Data Validation.
- Agile Development.
- Github.
- At least an upper-Intermediate level of English.

Nice-to-have skills:

- Secure Data and Development Practices.
- Product Analytics.
- Familiarity with scraping tools.
- Supported SaaS Product Development.
- Understanding of data in the recruitment industry.

Responsibilities:

- ETL Processes for importing data.
- Identifying new data sources.
- Strategy on big data tools and scaling.
- Serving data to ML engineer, and ensuring data is clean loaded for product developers.
- Automation and Data Validation.
- GCP services set up and monitoring.
- Setting database architecture.