Senior Data Engineer

15 часов назад

Tashkent Region, Узбекистан Data Smart Solutions Полный рабочий день 90 000 $ - 120 000 $ в год

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

  • Design, develop, and maintain robust
    ETL pipelines
    using
    AWS Glue
    ,
    Airflow
    , and
    Python
  • Optimize and monitor large-scale
    data workflows
    with
    Athena
    ,
    Hudi
    , and
    S3
  • Automate data extraction, transformation, and loading processes
  • Write and tune
    complex SQL queries
    for reporting and analytics
  • Develop
    serverless solutions
    using
    AWS Lambda
    ,
    SNS
    , and
    SQS
  • Collaborate with cross-functional teams to support and improve existing
    data infrastructure
  • Ensure data quality, scalability, and performance across different data layers
  • Implement CI/CD processes using
    GitLab
    for code versioning and deployment

Requirments

  • 3–6 years of experience as a
    Data Engineer
    or in a similar role
  • Strong programming skills in
    Python
    and
    SQL
  • Hands-on experience with
    AWS services
    — including
    Glue, S3, Athena, Lambda, SNS, SQS
  • Experience with
    Apache Airflow
    for orchestration and scheduling
  • Familiarity with
    Hudi
    and data lake optimization concepts
  • Experience with
    GitLab
    for code management and pipeline automation
  • Understanding of
    ETL/ELT
    concepts and distributed data systems
  • English level:
    B2 or higher
  • Strong analytical mindset and attention to detail

We Offer

  • Remote work with a flexible schedule
  • Opportunity to work on an international U.S.-based project
  • Competitive pay:
    USD per task/project
  • Exposure to modern data stack (
    AWS, Airflow, Glue, Athena, Hudi
    )
  • 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

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