Middle/Senior Data Engineer (AWS / Airflow / Glue / Python / SQL)

Python
📌 Job Overview
A large U.S.-based international project is hiring a Data Engineer to manage backend data workflows supporting tools like Zoom and Webex. The position is remote , offers flexible hours , and provides international collaboration experience with modern cloud technologies.
💼 Key Responsibilities

• Build and maintain ETL pipelines with AWS Glue, Airflow, and Python.


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  • Manage large-scale data workflows using Athena, Hudi, and S3.
  
  
  
  


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  • Automate data extraction, transformation, and loading (ETL).
  
  
  
  


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  • Write and optimize complex SQL queries.
  
  
  
  


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  • Develop serverless applications using AWS Lambda, SNS, and SQS.
  
  
  
  


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  • Collaborate cross-functionally to enhance existing data infrastructure.
  
  
  
  


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  • Ensure data quality, scalability, and performance.
  
  
  
  


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  • Implement CI/CD with GitLab.
  
  
  
  

🎯 Requirements

• 3–6 years of experience as a Data Engineer or similar role.


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  • Python and SQL expertise.
  
  
  
  


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  • Hands-on experience with AWS services (Glue, S3, Athena, Lambda, SNS, SQS).
  
  
  
  


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  • Familiarity with Apache Airflow and Hudi.
  
  
  
  


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  • Understanding of ETL/ELT and distributed systems.
  
  
  
  


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  • Experience with GitLab pipelines.
  
  
  
  


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  • English: B2 level or higher.
  
  
  
  


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  • Strong analytical mindset and attention to detail.
  
  
  
  

💰 Benefits

• Remote & flexible schedule.


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  • International project experience.
  
  
  
  


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  • Competitive pay (USD 1500+).
  
  
  
  


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  • Exposure to modern data stack (AWS, Airflow, Glue, Athena, Hudi).
  
  
  
  


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  • Supportive team and career growth opportunities.
  
  
  
  

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