Data Platform Engineer
12 godzin temu
Your future tasks:
- 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
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 have we prepared for you?
- 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 TalksCoursera 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
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