Technical Lead -Data Engineer- AWS

embIND Embitel Technologies (India) Private Limited

Bengaluru

On-site

INR 1,000,000 - 2,000,000

Full time

14 days+
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Job summary

embIND Embitel Technologies (India) Private Limited is seeking an experienced Cloud Engineer to manage complex AWS infrastructures and contribute to data-related projects. Ideal candidates should have at least 4 years of cloud engineering experience and demonstrated knowledge of the AWS ecosystem.

Responsibilities include developing automation scripts, collaborating with data teams, and solving complex problems. Experience with Terraform, Docker, and Kubernetes will be beneficial.

Qualifications

  • 4+ years of experience in cloud engineering.
  • Strong experience with the AWS ecosystem including EC2, S3, Lambda.
  • Proficiency with infrastructure-as-code tools like Terraform.

Responsibilities

  • Manage and maintain cloud infrastructure in AWS.
  • Develop automation scripts for deployment processes.
  • Collaborate with data teams on cloud-based solutions.

Skills

Cloud engineering
AWS ecosystem
Infrastructure-as-code
Containerisation
Scripting
CI/CD pipelines
Monitoring tools
Problem-solving

Tools

Terraform
AWS (EC2, S3, Lambda, etc.)
Docker
Kubernetes

Job description

Job Description
  • Intermediate/advanced level (4+ years of experience in cloud engineering)
  • Strong, demonstrated experience with the AWS ecosystem (EC2, S3, Lambda, ECS/EKS, IAM, VPC, CloudFormation, etc.)
  • Proficiency with infrastructure-as-code (Terraform, CloudFormation or CDK)
  • Experience with containerisation and orchestration (Docker, Kubernetes, ECS/EKS)
  • Solid scripting and automation skills (Python, Bash or similar)
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Grafana)
  • Able to navigate a complex, multi-service AWS environment confidently
  • Proactive, strong problem‑solving skills, good communicator
  • Experience with data product teams and working closely with data engineers, data scientists, or similar roles
  • Willingness to contribute to workstreams beyond cloud engineering, e.g., development of data pipelines
  • Experience with the CAP platform (VW-specific) is a plus
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