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Data engineers build the systems that collect, manage, and convert raw data into usable information for data scientists and analysts. This particular role focuses on Python, PySpark, and AWS, and involves developing and maintaining data pipelines.
6-8 years of experience
Development: Python, PySpark & with Spark Framework
Cloud: 2+ years
experience with AWS Services (Lambda, S3, Glue, Step Functions, Event Bridge, ECS, EKS)
DevOps & IaC tooling: Terraform, CI/CD pipelines, Git
Python (preferred) or PowerShell scripting
SonarQube and Veracode
Proficiency with automated testing tools (e.g. Pytest, Scalates)
Knowledge of RESTful and microservice architectures
