Data Solutions Architect (Strong M/L) || Hybrid at Chicago, IL

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Data Solutions
Architect
Kubernetes
Full Stack
Python
M/L
Docker
Cloud
Elastic Search

Job Details

Data Solutions Architect ((Strong M/L experience)

we are looking for full stack architects with Kubernetes first experience who have built scalable data APIs and deployed them as docker containers on Kubernetes. They should have exposure to databases like Elastic search, Redis etc.

Responsibilities:

  • Design and implement the pipelines and endpoints that expose data to the enterprise.
  • Design and implement data pipelines using Python, SQL, and Unix to ensure data quality and integrity.
  • Work with Docker to containerize data pipelines and ensure scalability and portability.
  • Collaborate with cross-functional teams to gather requirements and integrate data analytics into business operations.
  • Ensure data privacy and security by implementing appropriate controls and protocols
  • Stay up-to-date with emerging trends and technologies in data analytics and machine learning.

Skills:

  • Experience in designing data solutions - data product/pipeline with full stack (python, docker, Kubernetes, API) etc. that follows interoperability guidelines
  • Proficient in use of Architectural patterns ( side cars , Singleton, Pub/Sub, etc)
  • Expertise in Python web development and ML
  • Docker, Kubernetes
  • Unix (or Linux)
  • AWS or any cloud technologies
  • Graph DB (neo4j) or Vector Store (ElasticSearch, Redis)
  • [nice to have] Starburst, RESTful Endpoints, API, SQL, PostgreSQL, UI/UX, Jenkins, Agile

Thanks,

IT First Source

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