Informacje o stanowisku

Data Platform Engineer

About Insights & Data: Insights & Data is a team of over 400 specialists delivering high-quality, data-centric solutions. We focus on Cloud & Big Data engineering, designing and implementing scalable architectures across AWS, Azure, and GCP. Our expertise spans the entire Software Development Life Cycle (SDLC), employing advanced programming techniques, DevOps methodologies, and Infrastructure as Code (IaC) practices.

• 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:

• 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.

Data Platform Engineer

About Insights & Data: Insights & Data is a team of over 400 specialists delivering high-quality, data-centric solutions. We focus on Cloud & Big Data engineering, designing and implementing scalable architectures across AWS, Azure, and GCP. Our expertise spans the entire Software Development Life Cycle (SDLC), employing advanced programming techniques, DevOps methodologies, and Infrastructure as Code (IaC) practices.

,[       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: Cloud, Data engineering, AWS, Azure, GCP, DevOps, Python, Data Platform, English, Snowflake, Docker, Kubernetes, Cloud security, Data analytics, Azure Data Additionally: Sport subscription, Training budget, Private healthcare, International projects.

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