Summary: Seeking a Senior Data DevOps Engineer with AWS expertise to lead the design and optimization of scalable cloud data infrastructure, overseeing automation, mentoring teams, and ensuring secure data solutions. Highlights: 1. Lead design and optimization of scalable cloud data infrastructure using AWS. 2. Implement infrastructure automation with Terraform and AWS CloudFormation. 3. Provide technical leadership and mentorship to team members. We are looking for a Senior Data DevOps Engineer with AWS to lead the design and optimization of scalable cloud data infrastructure. You will oversee infrastructure automation, mentor team members, and collaborate with multiple teams to deliver secure and efficient data solutions. If you possess strong AWS and DevOps skills, we encourage you to apply. **Responsibilities** * Design, deploy, and optimize scalable data infrastructure using AWS technologies including ECS, RDS, Athena, Glue, S3, EBS, CloudFormation, IAM, and Redshift * Implement infrastructure automation with Terraform and AWS CloudFormation * Collaborate with data engineering and analytics teams to enhance data pipelines with Python and AWS Glue * Define and uphold best practices for CI/CD pipelines in AWS environments using GitHub Actions, AWS CodePipeline, Jenkins, or similar * Enhance cloud data platform performance, scalability, reliability, and cost efficiency * Integrate advanced data processing tools such as Apache Airflow and Apache Spark on AWS EMR * Troubleshoot and resolve complex AWS system issues with root cause analysis * Develop and maintain strong IAM configurations, encryption, and AWS security best practices * Manage capacity planning, resource optimization, and cost control for data platform components * Provide technical leadership and mentorship to team members promoting best practices **Requirements** * At least 3 years of experience in Data Engineering, DevOps, or related fields with a focus on cloud infrastructure and automation * Proficient in Python programming for scripting, automation, and workflow optimization * Strong knowledge of SQL for managing large datasets * Hands\-on experience with AWS data infrastructure services such as Redshift, Glue, EMR, and Athena * Expertise in Infrastructure as Code tools like Terraform, AWS CloudFormation, or Ansible * Experience implementing CI/CD pipelines with Jenkins, GitHub Actions, AWS CodePipeline, or similar * Practical experience with distributed data processing and orchestration tools like Apache Spark and Apache Airflow * Advanced Linux system administration and performance tuning in cloud environments * Thorough understanding of networking protocols including TCP, UDP, ICMP, DNS, and NAT in cloud contexts * Experience automating infrastructure deployment at scale using Terraform or equivalent * Proven skills in installing and managing platforms such as Apache Kafka and NiFi * Ability to lead complex projects and mentor junior and mid\-level engineers * Professional English proficiency at B2 level or above **Nice to have** * Experience with additional cloud platforms such as Azure or GCP including multi\-cloud and hybrid architectures * Familiarity with statistical tools like R and visualization platforms such as Tableau or Power BI * Knowledge of advanced CI/CD platforms like Bamboo * Experience implementing hybrid cloud and on\-premises solutions with secure, scalable data flows * Background in containerized environments using Kubernetes, Docker, or AWS ECS/EKS