AWS Data Engineer

• AWS Lambda
• AWS DynamoDB
• Amazon RDS
• AWS S3
• Glue
• Kinesis
• ECS
• AWS ECS
• Amazon EKS
• Terraform
• Cloud
• Angielski
• IoT
• AWS
• MQTT
• Kafka
• CI/CD
• Node.js
• 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.
• 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.

Opis oferty

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

• Start ASAP

We're a bunch of super-dedicated and passionate people who truly believe in making a difference and delivering amazing results on a huge scale.

We're the real deal when it comes to expertise:

We've got a whopping 100,000 IT specialists in our network

73% of our experts are seasoned pros with over 8 years of experience

78% of the specialists in our network have at least 2 years of experience working in distributed teams

And get this, we conduct 99% of our candidate interviews online and from afar.

Join the group of high-performing tech consultants