Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Accessibility
Amazon Web Services
Analytics
Apache Hive
Attention To Detail
Cloud Computing
Collaboration
Communication
Conflict Resolution
Cyber Security
Data Integration
Data Lake
Data Storage
Databricks
IoT
JD
Java
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Manufacturing
Meta-data Management
Problem Solving
Programming Languages
Python
Regulatory Compliance
Scala
Scalability
Streaming
Terraform
Job Details
JD/Requirements:
Capabilities (not all inclusive):
- AWS Data LakeHouse:
- Architect and develop Data LakeHouse solution, ensuring scalability, security, and performance leveraging AWS and Databricks tech stack
- IIOT Component Setup:
- Design and Implement and configure IIOT solutions, including HiveMQ for message brokering.
- Set up and manage Hive Metastore for effective metadata management.
- Develop solutions for optimal data storage at the edge that streams preferred data to IIOT Lake as well as support Edge Inferencing
- Data Integration:
- Design and implement data integration strategies between on-premises edge devices and AWS Data Lake
- Ensure seamless data transmission and accessibility across platforms
- Experience with manufacturing IIOT solutions Ignition, Sparkplug etc is a bonus
- Edge ML:
- Design and implement edge analytics solutions that can support operational insights, edge model execution and live inferencing
- Enable complete ML Ops on the edge leveraging/extending existing frameworks
- Security:
- Develop all solutions with 100% compliance to CloudSecOps and Cyber Security policies ensuring security & integrity of data throughout the end to end data pipelines,
- Collaboration:
- Work closely with cross-functional teams to understand data requirements and provide technical solutions.
- Support to team members on IIOT and AWS Data Lake best practices.
Required Skills and experience for proposed resources:
- Proven experience in IIOT technologies and AWS Data Lake architecture.
- Strong AWS Platform & IaC skills using Terraform.
- Strong implementations skills of Ignition, HiveMQ and Hive Metastore.
- Proficiency in data integration tools and techniques.
- Experience with AWS & Databricks Services.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Proficiency in programming languages such as Python, Scala, Java.
Preferred Qualifications:
- Relevant certifications in IIOT & AWS.
- Familiarity with cloud technologies and IoT applications in manufacturing.
Notes:
- Plant Location: Kentucky Toyota Manufacturing Plant - 1001 Cherry Blossom Way, Georgetown, KY 40324 (please submit local candidates or a candidate that would be willing to move during BGC)
- I will share Start and End dates as soon as I have it but I am being told they need someone immediately
- Interviews will be done virtually (7:30 AM CST - 11 AM CST) this is non negotiable and I do not know how many interviews there will be.
- Include candidate rate with submission of resume
- Subject line should read as: Vendor/AWS Solution Architect/Georgetown, KY/Resource Name (please do NOT change the format)
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