Remote AWS Data Engineer: Scalable Cloud Pipelines

Experis; Wrocław; Hybrid; PLN 152,000 - 179,000; Full time

Benefits offered by this job

Multisport Card

Life insurance

Private healthcare

PowerYou platform

Job summary

Experis is seeking a Data Engineer to join an international team building scalable, cloud-native data platforms on AWS. You will design and optimize data pipelines that process large volumes of device, event, usage, and operational data powering connected consumer products.

The role focuses on building data platforms on AWS with Python, Terraform, and SQL, ensuring performance, scalability, and reliability, while collaborating with architects and product owners in an Agile environment.

Qualifications

• 3+ years of experience in Data Engineering.
• Strong hands-on AWS experience, including Lambda, DynamoDB, RDS, S3, Glue, Kinesis, ECS/EKS.
• Advanced Python programming skills.
• Commercial experience with Terraform and Infrastructure as Code.
• Strong SQL skills and database optimization experience.
• Experience with both relational and NoSQL databases, especially DynamoDB.
• Proven background in building scalable data pipelines and distributed systems.
• Understanding of microservices architecture and cloud-native applications.
• Experience working in Agile environments.

Responsibilities

• Design, develop, and maintain scalable data platforms and pipelines on AWS.
• Build data ingestion, transformation, and distribution services using Python.
• Develop Infrastructure as Code solutions using Terraform.
• Design and optimize data models and storage solutions across RDS, PostgreSQL/MySQL, and DynamoDB.
• Build reliable pipelines for processing large-scale device and event data.
• Ensure performance, scalability, and reliability of cloud-based data infrastructure.
• Troubleshoot and resolve issues across the data platform ecosystem.
• Collaborate with architects, product owners, and engineering teams to deliver high-quality data solutions.
• Contribute to CI/CD processes, automation, testing, and monitoring.

Skills

Data Engineering

Python

SQL

AWS

Agile

Tools

Terraform

AWS Lambda

DynamoDB

RDS

S3

Glue

Kinesis

ECS/EKS

Job description

Experis is seeking a Data Engineer to join an international team building scalable, cloud-native data platforms on AWS. You will design and optimize data pipelines that process large volumes of device, event, usage, and operational data powering connected consumer products.

The role focuses on building data platforms on AWS with Python, Terraform, and SQL, ensuring performance, scalability, and reliability, while collaborating with architects and product owners in an Agile environment.