Summary: Seeking an accomplished Senior Data DevOps Engineer specializing in AWS to lead infrastructure design, automation, and innovation in a cloud data environment. Highlights: 1. Lead infrastructure design and automation strategies 2. Mentor colleagues and drive innovation in cloud data environment 3. Collaborate with cross-functional teams on high-impact cloud solutions We are looking for an accomplished Senior Data DevOps Engineer specializing in AWS to build, refine, and secure scalable cloud data infrastructure. In this position, you will lead infrastructure design and automation strategies, mentor colleagues, and collaborate with cross\-functional teams to deliver high\-impact cloud solutions. Join us to contribute your expertise and drive innovation in our cloud data environment. **Responsibilities** * Design and implement scalable data infrastructure with AWS services including ECS, RDS, Athena, Glue, S3, EBS, CloudFormation, IAM, and Redshift * Develop and maintain complex automation workflows using Infrastructure as Code tools like Terraform and AWS CloudFormation * Work closely with data engineering and analytics teams to enhance performance of large\-scale data pipelines using Python and AWS\-native tools * Establish and enforce best practices for CI/CD pipeline management in AWS environments using GitHub Actions, AWS CodePipeline, Jenkins, or similar * Improve system scalability, reliability, performance, and cost\-efficiency of cloud data platforms * Assess and integrate advanced data processing tools such as Apache Airflow and Apache Spark on AWS EMR * Troubleshoot and resolve complex issues affecting AWS\-hosted systems with root cause analysis for critical incidents * Implement strong IAM configurations, security policies, encryption, and AWS best practices to enhance data security and compliance * Manage capacity planning, resource optimization, and cost control for key data platform components * Provide expert guidance and mentorship to team members, promoting best practices across the team **Requirements** * Minimum 3 years experience in Data Engineering, DevOps, or related roles focused on cloud infrastructure and automation * Advanced programming skills in Python for scripting, automation, and workflow optimization * Proven SQL expertise for handling large\-scale datasets * Extensive hands\-on experience with AWS data infrastructure services such as Redshift, Glue, EMR, and Athena * Strong proficiency with Infrastructure as Code tools like Terraform, AWS CloudFormation, or Ansible * Demonstrated ability to implement and maintain CI/CD pipelines using 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 skills in cloud environments * Comprehensive knowledge of networking protocols including TCP, UDP, ICMP, DNS, and NAT within cloud contexts * Experience architecting and automating infrastructure deployment at scale using Terraform or equivalent * Expertise in installing, configuring, and operating data platforms like Apache Kafka and NiFi * Ability to lead complex projects and mentor junior and mid\-level team members * Professional English proficiency (B2 level or higher) **Nice to have** * Experience with additional cloud platforms such as Azure or GCP, including hybrid and multi\-cloud architectures * Familiarity with statistical programming languages like R and data visualization tools such as Tableau or Power BI * Knowledge of advanced CI/CD tools beyond primary platforms like Bamboo * Experience with hybrid cloud and on\-premises data solutions ensuring secure, scalable data flows * Background in containerized environments using Kubernetes, Docker, or AWS ECS/EKS