AWS Data Engineer @ Link Group
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Summary
Designs and builds cloud-native data pipelines and services on AWS (Lambda, Glue, Kinesis, S3, DynamoDB, RDS, ECS/EKS) for connected consumer devices, coding in Python and SQL and managing infrastructure with Terraform, with responsibility for reliability, data quality, and CI/CD.
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.
- 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.
- 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.
We are looking for an experienced AWS Data Engineer to join our global engineering team and build scalable data solutions for connected consumer devices.
,(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: AWS Lambda, AWS DynamoDB, Amazon RDS, AWS S3, Glue, Kinesis, ECS, AWS ECS, Amazon EKS, Data engineering, Terraform, Cloud, IoT, AWS, MQTT, Kafka, CI/CD, Node.js