About the role

  • Data Engineer at GFT managing data systems and workflows, focusing on data engineering and data science collaboration. Leveraging technologies like Python, Airflow, and AWS.

Responsibilities

  • Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories
  • Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments
  • Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives
  • Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes
  • Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources
  • Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows
  • Stay informed of industry best practices and emerging technologies in both data engineering and data science

Requirements

  • Proficiency in Python for data processing and scripting (pandas, pyspark)
  • Workflow automation (Apache Airflow)
  • Experience with AWS services (Glue, S3, EC2, Lambda)
  • Experience with Kubernetes and Docker for managing containerized environments in the cloud
  • Hands-on experience with columnar and big data databases (Athena, Redshift, Vertica, Hive/Hadoop)
  • Strong familiarity with AWS services for cloud-based data processing and management
  • Experience with CI/CD tools such as Jenkins, CircleCI, or AWS CodePipeline for continuous integration and deployment
  • Expertise in building and managing robust data architectures and pipelines for large-scale data operations
  • Ability to support data science workflows, including collaboration on data preparation, feature engineering, and enabling experimentation environments

Benefits

  • Competitive salary
  • 13th-month salary guarantee
  • Performance bonus
  • Professional English course for employees
  • Premium health insurance
  • Extensive annual leave

Job title

Senior/Lead Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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