AWS Data Engineer

We are looking for an experienced AWS Data Engineer to join our global engineering team and build scalable data solutions for connected consumer devices.

Daily tasks

• Design and develop cloud-native data pipelines and services on AWS.
• Build data ingestion and transformation solutions using Python.
• Manage infrastructure with Terraform and IaC practices.
• Work with S3, Lambda, Glue, Kinesis, RDS, DynamoDB, 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.

Requirements

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.

Must have: AWS Lambda, AWS DynamoDB, Amazon RDS, AWS S3, Glue, Kinesis, ECS, AWS ECS, Amazon EKS, Data engineering, Terraform, Cloud

Nice to have: IoT, AWS, MQTT, Kafka, CI/CD, Node.js