
Cloud Data Engineering Specialist
19 hours ago
About Capgemini Polska Sp. z o.o.
We are a team of over 400 specialists delivering high-quality, data-centric solutions. Our focus is on Cloud & Big Data engineering, designing and implementing scalable architectures across AWS, Azure, and GCP. We employ advanced programming techniques, DevOps methodologies, and Infrastructure as Code (IaC) practices throughout the entire Software Development Life Cycle (SDLC).
Job Description
We are looking for a highly skilled Data Platform Engineer to join our team. As a key member of our team, you will be responsible for automating the deployment and management of cloud-based data platforms using Infrastructure as Code (IaC). You will also develop and maintain CI/CD pipelines to streamline data engineering workflows and deployments. Additionally, you will optimize system reliability, scalability, and security by implementing DevOps best practices. Finally, you will monitor, troubleshoot, and enhance cloud-based data infrastructure to ensure high availability and performance.
Key Responsibilities
- 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.
Requirements
To succeed in this role, you should have:
- 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.
Nice-to-Have Skills
The following skills would be beneficial but are not required:
- 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.
What We Offer
We offer a competitive salary and benefits package, including:
- Sport subscription
- Training budget
- Private healthcare
- International projects
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