Middle Big Data DevOps Engineer
We are looking for a skilled Middle 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.
Responsibilities
- Cloud Solutions Development: 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
- Data Tools Management: Configure and manage data processing tools such as Apache Spark, Kafka, Airflow, and Databricks to efficiently handle large-scale data workflows
- Automation and CI/CD: Utilize Terraform for infrastructure as code, automate workflows with Jenkins, and maintain code with GitLab for continuous integration and continuous delivery processes
- Performance Optimization: Monitor and optimize the performance of big data tools and cloud platforms, ensuring cost-effectiveness and operational efficiency
- Security and Compliance: Implement and enforce data security measures, ensuring compliance with data protection regulations and best practices in cloud environments
- Collaborative Development: Work collaboratively with data scientists, data engineers, and other stakeholders to understand requirements and deliver high-quality data solutions
Requirements
- 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
Nice to have
- 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
