Summary: Seeking a Senior Data DevOps Engineer focused on AWS to design, build, and maintain scalable cloud data infrastructures, leading strategy and mentoring. Highlights: 1. Design and maintain scalable cloud data infrastructures on AWS 2. Automate infrastructure deployment and optimize data pipelines 3. Lead projects and mentor junior and mid-level engineers We are seeking a seasoned Senior Data DevOps Engineer focused on AWS to design, build, and maintain scalable cloud data infrastructures. You will be responsible for infrastructure strategy, automation, and mentoring, collaborating closely with teams to deliver efficient and secure cloud solutions. If you have the skills and leadership to excel, apply now to join our team. **Responsibilities** * Develop and manage scalable data infrastructure using AWS services like ECS, RDS, Athena, Glue, S3, EBS, CloudFormation, IAM, and Redshift * Automate infrastructure deployment with tools such as Terraform and AWS CloudFormation * Work alongside data engineering and analytics teams to optimize data pipelines utilizing Python and AWS Glue * Establish and maintain CI/CD best practices in AWS environments using GitHub Actions, AWS CodePipeline, Jenkins, or similar tools * Improve performance, reliability, scalability, and cost management of cloud data platforms * Incorporate advanced data tools including Apache Airflow and Apache Spark on AWS EMR to enhance workflows * Address and troubleshoot complex AWS system issues, performing root cause analysis when necessary * Implement robust IAM, data security policies, encryption, and AWS compliance standards * Conduct capacity planning, resource optimization, and cost control for critical data platform resources * Support and mentor junior and mid\-level team members, advocating best practices **Requirements** * Minimum 3 years in Data Engineering, DevOps, or similar roles with a focus on cloud infrastructure and automation * Strong programming experience in Python for scripting, automation, and process optimization * Solid SQL skills for handling large datasets * Extensive hands\-on experience with AWS data services such as Redshift, Glue, EMR, and Athena * Deep knowledge of Infrastructure as Code tools like Terraform, AWS CloudFormation, or Ansible * Skill in building and managing CI/CD pipelines with Jenkins, GitHub Actions, AWS CodePipeline, or equivalent * Experience using distributed data processing and orchestration platforms like Apache Spark and Apache Airflow * Advanced Linux system administration and tuning capabilities in cloud contexts * Good understanding of networking protocols (TCP, UDP, ICMP, DNS, NAT) in cloud environments * Experience with large\-scale infrastructure automation using Terraform or similar * Proven ability to install and operate data platforms such as Apache Kafka and NiFi * Capability to lead projects and mentor junior and mid\-level engineers * Professional English proficiency (B2 or higher) **Nice to have** * Experience with cloud platforms beyond AWS like Azure or GCP, including hybrid cloud strategies * Familiarity with statistical analysis tools like R and data visualization platforms such as Tableau or Power BI * Knowledge of advanced CI/CD solutions like Bamboo * Experience in hybrid cloud and on\-premises data architectures ensuring secure and scalable data flows * Experience with container orchestration tools such as Kubernetes, Docker, or AWS ECS/EKS