Summary: Join our team as a Senior Data DevOps Engineer to architect and optimize scalable cloud data infrastructures, leading automation strategies and mentoring teammates. Highlights: 1. Architect and deploy scalable data infrastructure using AWS services 2. Lead infrastructure automation strategies and mentor teammates 3. Enhance cloud data platform performance, reliability, and scalability Join our team as a Senior Data DevOps Engineer with AWS expertise to architect and optimize scalable cloud data infrastructures. You will lead infrastructure automation strategies, mentor teammates, and work closely with cross\-functional groups to deliver robust cloud data solutions. We invite you to apply and contribute your expertise to our innovative projects. **Responsibilities** * Architect and deploy scalable data infrastructure using AWS services including ECS, RDS, Athena, Glue, S3, EBS, CloudFormation, IAM, and Redshift * Automate infrastructure workflows leveraging Infrastructure as Code tools such as Terraform and AWS CloudFormation * Collaborate with data engineering and analytics teams to optimize large data pipelines with Python and AWS Glue * Define best practices and manage CI/CD pipelines adapted to AWS environments using GitHub Actions, AWS CodePipeline, Jenkins, or similar * Enhance cloud data platform performance, reliability, scalability, and cost efficiency * Integrate and evaluate advanced data processing tools like Apache Airflow and Apache Spark on AWS EMR * Diagnose and resolve complex issues in AWS\-hosted systems, performing root cause analysis for critical problems * Implement strong data security measures including IAM, encryption, and AWS compliance best practices * Conduct capacity planning, resource tuning, and cost management for data platform components * Guide and mentor team members while promoting best practices **Requirements** * At least 3 years of professional experience in Data Engineering, DevOps, or related areas focused on cloud infrastructure and automation * Advanced Python programming skills for automation and workflow optimization * Strong SQL skills for large\-scale data management * Extensive experience with AWS data infrastructure tools such as Redshift, Glue, EMR, and Athena * Proficiency with Infrastructure as Code tools including Terraform, AWS CloudFormation, or Ansible * Experience implementing CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline, or others * Hands\-on expertise with distributed data processing and orchestration using Apache Spark and Apache Airflow * Advanced Linux administration and tuning experience in cloud settings * Solid understanding of networking protocols like TCP, UDP, ICMP, DNS, and NAT in cloud environments * Experience automating large\-scale infrastructure deployment with Terraform or equivalent * Proven skills installing and managing data platforms such as Apache Kafka and NiFi * Ability to lead complex projects and support junior and mid\-level team members * Professional English proficiency at B2 level or higher **Nice to have** * Experience with other cloud platforms such as Azure or GCP and hybrid cloud architectures * Knowledge of statistical and data visualization tools like R, Tableau, or Power BI * Familiarity with advanced CI/CD tools such as Bamboo * Experience with hybrid cloud and on\-premises data solutions ensuring secure, scalable flows * Background in container orchestration technologies including Kubernetes, Docker, or AWS ECS/EKS