Big data DevOps engineer in cloud environments

We are looking for a skilled Big Data DevOps Engineer with profound knowledge of cloud technologies and experience with a variety of data tools and platforms. The ideal candidate will have proven experience in managing and optimizing big data operations across cloud environments.

• Build, deploy, and maintain scalable and secure big data solutions across major cloud platforms (AWS, Azure, Google Cloud) to support advanced data processing and analytics
• Configure and manage data processing tools such as Apache Spark, Kafka, Airflow, and Databricks to efficiently handle large-scale data workflows
• Utilize Terraform for infrastructure as code, automate workflows with Jenkins, and maintain code with GitLab for continuous integration and continuous delivery processes
• Monitor and optimize the performance of big data tools and cloud platforms, ensuring cost-effectiveness and operational efficiency
• Implement and enforce data security measures, ensuring compliance with data protection regulations and best practices in cloud environments
• Work collaboratively with data scientists, data engineers, and other stakeholders to understand requirements and deliver high-quality data solutions

• Strong experience with big data technologies, particularly Apache Spark or Databricks
• Extensive background in cloud services administration with platforms like AWS, Azure, or Google Cloud
• In-depth knowledge of infrastructure as code using Terraform
• Proficiency in implementing CI/CD pipelines with tools such as Jenkins, GitLab or GitHub Actions
• Solid scripting skills in Python, Scala, or similar languages
• Experience with SQL and relational/non-relational databases
• Excellent problem-solving abilities and a team-oriented attitude
• Будет плюсом: Certifications in cloud technology (e.g., AWS Certified Solutions Architect, Google Cloud Certified Professional Cloud Architect); Additional experience with real-time data processing tools like Apache Kafka

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