Data Platform Engineer (DevOps)
Nasze wymagania:
- At least 3 years of experience in a similar role, including 1+ year working with cloud platforms.
- Strong experience in Python or another programming language.
- Hands-on experience with DevOps methodologies, especially Infrastructure as Code (Terraform, Bicep).
- Very good communication skills and strong English language skills.
Mile widziane:
- Experience with CI/CD pipelines and automation tools.
- Familiarity with cloud data services such as Data Lake, Snowflake, or Synapse.
- Knowledge of containerization (Docker, Kubernetes) and cloud security best practices.
- Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, or GCP Professional Data Engineer.
O projekcie:
Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.
Zakres obowiązków:
- Automate the deployment and management of cloud-based data platforms using Infrastructure as Code (IaC).
- Develop and maintain CI/CD pipelines to streamline data engineering workflows and deployments.
- Optimize system reliability, scalability, and security by implementing DevOps best practices.
- Monitor, troubleshoot, and enhance cloud-based data infrastructure to ensure high availability and performance.
Oferujemy:
- Enjoy hybrid working modelthat fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
- Access to over 70 training trackswith certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
- Practical benefits:private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insuranceand40+optionsonourNAISbenefitplatformincludingNetflixorSpotifyorMedicoverSport.
Skills
- AI
- Analytics
- Anomaly Detection
- API
- Automation
- AWS
- Azure
- Bicep
- CI/CD
- Cloud
- Cloud Security
- Computer Vision
- Containerization
- Data Analytics
- Data Engineering
- Data Lake
- Data Science
- DevOps
- Docker
- ETL
- GCP
- Generative AI
- Infrastructure as Code
- Java
- Kubernetes
- Machine Learning
- NLP
- Python
- Scala
- SDLC
- Snowflake
- Terraform