Cloud Data engineer
Techila Global ServicesMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, integrate, and implement Data Warehouses and Data Marts on public cloud platforms, primarily AWS.
Deploy and configure AWS services including databases, networking, and security, implementing real-time data ingestion strategies using event-driven architecture and tools like Kafka and Kinesis.
Build and automate cloud infrastructure using Infrastructure as Code tools (Terraform, CloudFormation, etc.), design CI/CD pipelines, and manage container orchestration platforms such as Kubernetes.
Minimum Requirements
3 to 5 years of relevant work experience in cloud data engineering and big data platforms.
Strong hands-on experience with AWS services including Kinesis, Lambda, Redshift, RDS, Glue, Data Pipeline, API Gateway, and CloudWatch.
Proficiency in Infrastructure as Code and automation tools such as Terraform, Ansible, CloudFormation, along with CI/CD tools like Jenkins, CodePipeline, CodeDeploy.
Work Mode: Hybrid (Pan India); Employment Type: Full-time; Opening: 1 position; Apply By: Oct 23, 2026.
Ideal Candidate Profile
Experienced in designing and deploying complex, real-time data ingestion and processing systems on AWS with event-driven architectures.
Skilled in building and managing containerized environments and orchestrations using Kubernetes and Docker within Agile or SAFe development methodologies.
Capable of end-to-end responsibility across cloud infrastructure provisioning, automation, and CI/CD pipeline development to support scalable data engineering solutions.