ZLATA GREENPRODUCT
Senior Data Engineer (AWS | Airflow | Glue | Python | SQL)
- SQL
- Python
- Apache Airflow
- Docker-compose
- REST API
- Английский — B2 — Средне-продвинутый
About the Project
We are working on a large international U.S.-based project and are looking for a Data Engineer to strengthen our team. You will be responsible for backend processes, ensuring that applications like Zoom, Webex, and other tools run smoothly in the background.
This role offers a great opportunity to gain hands-on international experience, collaborate with a distributed team, and work with modern technologies in real business scenarios.
Responsibilities
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Design, develop, and maintain robust ETL pipelines using AWS Glue, Airflow, and Python
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Optimize and monitor large-scale data workflows with Athena, Hudi, and S3
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Automate data extraction, transformation, and loading processes
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Write and tune complex SQL queries for reporting and analytics
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Develop serverless solutions using AWS Lambda, SNS, and SQS
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Collaborate with cross-functional teams to support and improve existing data infrastructure
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Ensure data quality, scalability, and performance across different data layers
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Implement CI/CD processes using GitLab for code versioning and deployment
Requirments
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3–6 years of experience as a Data Engineer or in a similar role
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Strong programming skills in Python and SQL
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Hands-on experience with AWS services — including Glue, S3, Athena, Lambda, SNS, SQS
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Experience with Apache Airflow for orchestration and scheduling
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Familiarity with Hudi and data lake optimization concepts
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Experience with GitLab for code management and pipeline automation
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Understanding of ETL/ELT concepts and distributed data systems
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English level: B2 or higher
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Strong analytical mindset and attention to detail
We Offer
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Remote work with a flexible schedule
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Opportunity to work on an international U.S.-based project
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Competitive pay: 1000+ USD per task/project
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Exposure to modern data stack (AWS, Airflow, Glue, Athena, Hudi)
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Supportive team and opportunities for career growth
📩 If you want to boost your data engineering skills and gain international project experience, apply now — we’d love to meet you!