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Lead Data DevOps Engineer (AWS)
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Summary: Lead Data DevOps Engineer specializing in AWS to architect and optimize cloud-based data infrastructures, define technical strategies, and mentor a team. Highlights: 1. Lead architecture and optimization of cloud-based data infrastructures 2. Define technical strategies and mentor a talented team 3. Collaborate to deliver secure, scalable solutions We are hiring a Lead Data DevOps Engineer specializing in AWS to lead architecture and optimization of cloud\-based data infrastructures. In this role, you will define technical strategies, mentor a talented team, and collaborate with stakeholders to deliver secure, scalable solutions. If you are passionate about data infrastructure leadership, apply now to join our innovative environment. **Responsibilities** * Lead design, deployment, and continuous improvement of AWS data infrastructure services such as ECS, RDS, Athena, Glue, S3, and Redshift * Implement and advocate for Infrastructure as Code using Terraform and CloudFormation * Work closely with data engineering and analytics teams to build high\-performance data workflows using Python and AWS Glue * Set and enforce best practices for CI/CD pipelines in AWS using GitHub Actions, Jenkins, and AWS CodePipeline * Drive system enhancements focused on scalability, reliability, cost\-efficiency, and operational streamlining * Integrate modern data processing frameworks like Apache Airflow and Apache Spark (EMR) into workflows * Manage escalations and conduct root cause analysis for critical AWS systems * Establish secure IAM policies, encryption standards, and compliance for data infrastructure * Lead capacity planning, resource management, and cost control initiatives * Mentor engineers at multiple levels and provide technical leadership on AWS data infrastructure * Collaborate with leadership to define project roadmaps and prioritize key initiatives * Promote continuous learning, innovation, and engineering excellence **Requirements** * 5\+ years in Data Engineering or DevOps roles emphasizing cloud infrastructure * At least 1 year of leadership experience * Proficiency in Python for scripting and automation * Strong SQL skills for complex data management * Extensive hands\-on experience with AWS data services including Redshift, Glue, EMR, Athena, and S3 * Expertise in Infrastructure as Code tools like Terraform and CloudFormation * Experience designing and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or AWS CodePipeline * Knowledge of distributed processing and orchestration frameworks such as Apache Spark and Airflow * Strong Linux system administration and container orchestration skills (Docker, ECS/EKS) * Advanced knowledge of networking protocols and troubleshooting in AWS * Experience with streaming platforms like Apache Kafka * Demonstrated leadership and mentoring skills * English proficiency at B2\+ level **Nice to have** * Experience with multi\-cloud platforms such as Azure or GCP * Familiarity with statistical tools and data visualization (R, Tableau, Power BI) * Knowledge of advanced CI/CD and configuration management platforms * Experience in secure hybrid cloud and on\-premises solution design * Hands\-on Kubernetes management on AWS EKS/ECS

Source:  indeed View original post
Valentina Rodríguez
Indeed · HR

Company

Indeed
Valentina Rodríguez
Indeed · HR
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