Data Engineer for iGaming project (ETL-Specialist)
- We are developing a comprehensive automation ecosystem for our company. The main focus is the creation and scaling of a network of specialized mini-sites, but in the future, automation will affect all team processes: collecting and analyzing performance metrics, optimizing workflows, and automating routine marketing and SEO tasks.
- We are looking for a technical specialist who can help build this system from scratch, starting with automating the website creation process from keyword selection to full deployment.
- Our immediate goal is to achieve the capability of creating up to 3,000 domains per month with minimal manual intervention, and eventually to apply this approach to all aspects of the team's work.
Remote Full-Time | DATA ENGINEER
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job description
WHAT YOU’LL DO
- Automation of the mini-site creation process — from processing key requests to ful deployment of the final product.
- Configuration and management of Apache Airflow for workflow automation.
- Creation, configuration, and management of DAGs to automate workflows.
- Optimization of DAG (parallelization, load reduction, stability improvements).
- Development of ETL pipelines (Extract, Transform, Load).
- Data extraction and transformation using regex and XPath.
- Research, analysis, and implementation of ready-made APIs and connecting between them.
- Development of custom operators and hooks for specific tasks.
- Automation of domain purchasing, cloud service registration, binding, and production deployment.
- Maintaining documentation for DAG, processes, and integrations.
- Setting up logging and alerts.
- Identifying and fixing DAG errors.
WHAT WE EXPECT FROM YOU
- 2+ years of experience working with Python.
- Experience in developing and optimizing ETL processes.
- Experience in writing AI agents for task automation.
- Experience with Apache Airflow, or a willingness to learn it quickly.
- Experience working with ML models and integrating them into workflows.
- Ability to independently design and configure the necessary infrastructure.
- Experience integrating various APIs and systems.
- Ability to automate routine processes.
- Basic knowledge in the field of Data Science – will be a plus.
- Experience in writing AI agents for task automation – will be a plus.
- Experience implementing process automation for Marketing or SEO teams – will be a plus.
- Bachelor’s/Master’s degree in Applied Mathematics or Physics – will be a plus.
- Experience applying AI in process automation – will be a plus.
- Experience in implementing Apache Airflow from scratch – will be a plus.
- Courses/books completed in Data Science or Machine Learning – will be a plus.
- A pet project on GitHub related to automation or ML – will be a plus.
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WHAT WE OFFER:
- 28 business days of paid off
- Flexible hours and the possibility to work remotely
- Medical insurance and mental health care
- Compensation for courses, trainings
- English classes and speaking clubs
- Internal library, educational events
- Outstanding corporate parties, teambuildings
WHAT WE OFFER:
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