AWS Data Engineer

• Strong hands-on experience with AWS (Lambda, DynamoDB, RDS, S3, Glue, Kinesis, ECS/EKS) and data engineering.
• Proficiency in Python and SQL.
• Experience with Terraform, relational databases, and DynamoDB.
• Good understanding of distributed systems, data pipelines, and microservices.
• Experience supporting production cloud systems.
• Strong analytical and problem-solving skills.

Nice to have:

• Experience with IoT, AWS IoT Core, MQTT, or connected devices.
• Knowledge of Kinesis, Kafka, or other streaming technologies.
• Experience with serverless architectures and CI/CD.
• Node.js experience.

• Design and develop cloud-native data pipelines and services on AWS.
• Build data ingestion and transformation solutions using Python.
• Manage infrastructure with Terraform and Infrastructure as Code practices.
• Work with S3, Lambda, Glue, Kinesis, RDS, DynamoDB, and ECS/EKS.
• Design data models and storage solutions for SQL and NoSQL workloads.
• Ensure reliability, performance, data quality, and scalability of production systems.
• Collaborate with engineers, architects, product teams, and business stakeholders.
• Contribute to testing, monitoring, CI/CD, and continuous improvement.