TL;DR
Junior Data Engineer (Fintech): Supporting the design, automation, and maintenance of ETL/ELT pipelines on AWS with an accent on data infrastructure reliability and scalability. Focus on optimizing data ingestion, transformation, and storage from various sources.
Company
Innovating the future of payments through advanced, AI-powered technologies.
What you will do
- Design, automate, and optimize ETL/ELT pipelines using Python and Airflow.
- Work with AWS services for data storage, processing, and monitoring.
- Collaborate with data analysts and cross-functional teams to deliver reliable datasets.
- Integrate and process data from multiple sources, including internal systems and APIs.
- Maintain documentation and contribute to continuous improvement of data architecture.
Requirements
- Degree in IT, Computer Science, or a related technical field.
- Hands-on experience with cloud platforms (preferably AWS).
- Proficiency in Python and basic understanding of data modeling and SQL.
- Familiarity with ETL/ELT principles, Airflow orchestration, and Docker.
- Good command of English and Russian (written and spoken).
Nice to have
- Previous experience working with fintech or payments data.
- Hands-on use of AWS services.
- Experience with API integrations (REST/JSON).
Culture & Benefits
- Opportunity to work in a modern data stack environment.
- Supportive team culture focused on learning and professional growth.
- Competitive compensation package.
- Dynamic and innovative company within the fintech/payments industry.
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