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Job Description:

SR. Data Platform Engineer

Duration: 6 months contract (potential extension)

Location: Chicago, IL

PURPOSE:

Client seeks an experienced Data Platform Engineer who will be an exceptional addition to our growing Data Platform Architecture team. He will work closely with data engineering, data product managers and data science teams to meet data requirements of various initiatives.

POSITION RESPONSIBILITIES:

Design and manage scalable, secure, and resilient solutions on GCP and AWS to support organizational objectives.
Oversee GCP and AWS cloud infrastructure, ensuring high performance and reliability.
Lead data migration from traditional systems to GCP and AWS, using appropriate services and providing guidance on solution architecture.
Employ cost management strategies for cloud spending optimization.
Provide infrastructure resources and guidance for effective application building on GCP and AWS.
Incorporate DevOps practices into cloud infrastructure for CI/CD pipeline efficiency.
Diagnose and resolve complex cloud issues to maintain high service levels.
Offer persistent technical support and advisement to development teams.

• Work on the creation of an Enterprise Data Platform with cloud.

• Shape and build new analytical solutions to deploy in support of internal clients. Create solutions to drive the next wave of innovation with Data as centric element.

• Recommend tools and capabilities based on research of the current environment design and architect new solutions and work with stakeholders.

• Design and develop enterprise data solutions leveraging advanced data technologies.

• Implement solutions for data migration, data delivery, and ML pipelines.

• Build resilient, secure Data Platforms and Applications.

EXPERIENCE AND QUALIFICATIONS:

• Design and manage scalable, secure, and resilient solutions on GCP and AWS to support organizational objectives.

• Oversee GCP and AWS cloud infrastructure, ensuring high performance and reliability.

• Lead data migration from traditional systems to GCP and AWS, using appropriate services and providing guidance on solution architecture.

• Employ cost management strategies for cloud spending optimization.

• Provide infrastructure resources and guidance for effective application building on GCP and AWS.

• Incorporate DevOps practices into cloud infrastructure for CI/CD pipeline efficiency.

PREFERRED SKILLS:

• Experience with proof of concept (POC) development for GenAI applications and LLMs.

• Design of machine learning applications and frameworks using GenAI and LLMs with Major cloud Providers.

• Proficiency in data platforms for scalable AI and ML model deployment.

• Hands-on experience with business intelligence, analytics, Data Integration like Kafka, and AWS and GCP Cloud services (Especially Cloud Analytics Services).

• Experience with CI/CD tools, scripting, and automation.

• Familiar with Azure OpenAI services.

#LI-REMOTE #PCIT

Sr. Data Engineer / Cloud

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