Description

You will design and implement scalable cloud data solutions using AWS services and distributed systems. This role is hybrid.

Responsibilities

• Architect data lakes and warehousing solutions on AWS (S3, EMR, RDS).
• Build and maintain distributed data pipelines using Spark and Kafka.
• Deploy and manage cloud-native microservices using Kubernetes and Docker.
• Implement Infrastructure as Code with Terraform and CI/CD pipelines.
• Ensure security and governance via IAM and VPC configurations.

Required Skills

• 5+ years of experience with AWS services (EMR, EKS, Lambda, S3, EC2, RDS, API Gateway, IAM, VPC).
• Strong proficiency in Python and Java for data engineering.
• Hands-on experience with Apache Spark and Kafka for big data processing.
• Expertise in containerization (Docker) and orchestration (Kubernetes).
• Proficiency with Terraform for Infrastructure as Code.
• Experience with CI/CD and DevOps practices.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree