Middle/Senior Data Engineer (AWS / Airflow / Glue / Python / SQL)
Python๐ 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.
๐ผ Key Responsibilities
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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.
๐ฏ Requirements
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3โ6 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.
๐ฐ Benefits
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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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