4 дня назад
DevOps and Data Engineer (AWS)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps and Data Engineer (AWS): Building and maintaining cloud infrastructure, CI/CD pipelines, and AWS data platform systems for reliable data ingestion and analytics with an accent on infrastructure automation, observability, and large-scale ETL. Focus on deploying AWS Glue and Athena resources, managing containerized workloads, and designing scalable infrastructure with Terraform or AWS CDK.
Location: Hybrid role based in Cordoba, Argentina
Company
Global cybersecurity organization protecting people, data, and AI workflows across email, cloud, and collaboration platforms.
What you will do
- Build and maintain CI/CD pipelines for AWS Glue ETL jobs, Athena views, and data infrastructure.
- Manage AWS cloud infrastructure with Terraform and/or AWS CDK, including S3, IAM, Glue, Athena, Lake Formation, VPCs, and supporting services.
- Own observability for data pipelines by defining metrics, logs, and alerts with CloudWatch, Datadog, or equivalent tools.
- Manage Docker-based container and compute infrastructure using ECS, EKS, Kubernetes, or Lambda.
- Build and maintain AWS Glue PySpark ETL jobs for large-scale data ingestion and transformation across an S3 data lake.
- Collaborate with data engineers, data scientists, and security teams to deliver scalable infrastructure solutions.
Requirements
- 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, including at least 2 years of hands-on data engineering.
- Expertise with AWS services including S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
- Hands-on experience with AWS Glue, Athena, S3 data lake capabilities, Crawlers, and the Data Catalog.
- Production Infrastructure-as-Code experience with Terraform and/or AWS CDK.
- Strong experience designing and maintaining CI/CD pipelines with GitHub Actions, Jenkins, GitLab CI, or equivalent tools.
- Experience with Docker and container orchestration using Amazon ECS, EKS, or Kubernetes.
Nice to have
- Experience with data quality frameworks such as Great Expectations or Deequ.
- Familiarity with Apache Iceberg, Delta Lake, and lakehouse patterns.
- Background in cybersecurity, threat intelligence, or security-data analytics.
Culture & Benefits
- Flexible work environment.
- Competitive compensation and comprehensive benefits.
- Annual wellness and community outreach days.
- Recognition for contributions and career development support.
- Global collaboration and networking opportunities.
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