Cloud Data Engineer

3 weeks ago


Wrocław, Województwo dolnośląskie, Czech Republic Experis Polska Full time

Frequently used technologies:

  • Cloud: Azure, AWS, GCP
  • Python
  • IaC: Terraform, Bicep, CloudFormation
  • SQL

Our Requirements:

  • Minimum of 3 years of experience in DevOps within Cloud Data Engineering projects, with a focus on provisioning Cloud Infrastructure and establishing CI/CD environments
  • Practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience
  • Good knowledge of Python
  • Very good command of English

What we offer:

  • Private medical care and life insurance with ability to buy additional packages (e.g., dental care, senior care, oncology) on preferential terms
  • Bonuses for recommending your friends
  • Access to Inspiro app with rich audiobooks database
  • Access to our NAIS benefit platform (40+ options available: Netflix, Spotify, MultiSport, cinema tickets, etc.)
  • 70+ training tracks with certification opportunities (e.g. MS Azure, AWS, Google) on our NEXT training platform
  • Platform with free access to Pluralsight, TED Talks, Coursera materials and trainings
  • Free access to Udemy Business account with ability to use during and outside working hours
  • Transparent performance management policy
  • No official dress-code
  • Day off for volunteering
  • Ability to implement world-changing initiatives thanks to our Grant Program

The offer applies to permanent work.

About Experis Polska:

Experis is a global leader in IT recruitment and management consulting. With us, you will find competitive job offers and interesting IT projects aimed at both experienced experts and those just starting their adventure in the IT industry.

We offer recruitment of managers and highly qualified consultants with experience in the IT industry. Experis is part of the ManpowerGroup and has been recognized as one of the most ethical companies in the world.

Key responsibilities:

  • Develop and deploy Cloud solutions for handling large and unstructured data sets
  • Fine-tune and validate Data Warehouse/Big Data solutions within a Continuous Integration/Continuous Delivery framework
  • Oversee the smooth transition of data infrastructure from on-premises environments to public Cloud platforms
  • Create Data, AI, and ML applications, alongside Generative AI solutions
  • Implement Infrastructure as Code principles to automate provisioning and management processes effectively

Requirements:

  • Azure, AWS, GCP, Python, Terraform, Bicep, CloudFormation, SQL, DevOps, Cloud, Data engineering, Cloud platform, Networking

Additional benefits:

  • Private healthcare

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