Hybrid Mid-level Data Engineer

Posted 3 weeks ago

Apply now

About the role

  • Develop and maintain data pipelines using Apache Airflow.
  • Manage and operate cloud data infrastructure on AWS.
  • Develop and maintain infrastructure as code (IaC) using Terraform.
  • Create and manage containers using Docker.
  • Collaborate with development teams to integrate and automate data processes.
  • Monitor and optimize the performance of data systems and applications.
  • Ensure security and compliance of data infrastructures and applications.

Requirements

  • Minimum 2 to 4 years of experience in data engineering or related fields.
  • Ability to independently solve technical problems.
  • Experience automating repetitive tasks.
  • Hands-on experience with AWS (EC2, S3, RDS, Redshift, etc.).
  • Knowledge of Terraform for managing infrastructure as code.
  • Experience with GitHub for version control and collaboration.
  • Knowledge of Docker for building and managing containers.
  • Experience with Apache Airflow for orchestrating data pipelines.
  • Ability to work in diverse environments and on multiple projects simultaneously.
  • Good communication and teamwork skills.
  • Advanced English.

Benefits

  • Health insurance
  • Dental insurance
  • Food allowance
  • Meal allowance
  • Mobility allowance
  • Culture allowance
  • Wellness allowance
  • Education allowance
  • Life insurance
  • Childcare assistance
  • Partner discounts

Job title

Mid-level Data Engineer

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job