Cloud Data Engineer with AI Product Development Expertise

hace 1 semana


Colombia Mechanized AI Inc. A tiempo completo

Job Overview

Mechanical AI Inc. is seeking a highly skilled Cloud Data Engineer to spearhead the development of cutting-edge AI products across various cloud platforms (Azure, GCP, AWS). The ideal candidate will possess extensive experience in cloud data-focused solutions, particularly in Python and cloud infrastructure.

Responsibilities

  • Create end-to-end cloud architectures for data-centric products on Azure, GCP, or AWS.
  • Leverage Infrastructure as Code using Pulumi or Terraform to ensure efficient and scalable deployments.
  • Develop expertise in authentication best practices (Auth0, Cognito), SQL & NoSQL databases on the cloud, network configuration (NLBs), logging, and data streaming.
  • Design and implement multi-tenant and single-tenant platform tools.
  • Build products utilizing ECS, Flask, and Python.
  • Promote DevOps best practices throughout the development lifecycle.

Requirements

  • Minimum 4 years of industry experience as a Cloud Data Engineer/Backend Engineer.
  • Demonstrated expertise in Python (4+ years) and Flask (2+ years).
  • Bachelor's or Master's degree in Computer Science.
  • Experience in Machine Learning or Deep Learning projects that have successfully transitioned to production environments.
  • DevOps pipeline experience from scratch, utilizing CodePipeline or equivalents.
  • Strong ability to collaborate effectively with front-end team members.

Estimated Salary

The estimated annual salary for this position is approximately $140,000 - $200,000, depending on location and experience.

Preferred Skills

  • Experience in managing large-scale data products on the cloud, handling TBs of data, and executing millions of pipeline deployments daily.
  • Pyspark (1+ year) expertise.
  • Security experience.
  • AWS Solution Architect Associate or higher certification (ideal).
  • AWS Data Certificates.
  • Basic understanding of front-end development, ideally React.
  • Experience designing and implementing large dataset architectures; streaming, batch datasets, data lakes, and meshes.
  • Expertise in creating data pipelines on the cloud: Glue, EMR, serverless EMR, step functions, Kafka/Kinesis, storage, and equivalents.


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