Overview
Hybrid
Depends on Experience
Contract - W2
Skills
Amazon EC2
Amazon Lambda
Amazon Redshift
Amazon S3
Business Intelligence
Data Analysis
Data Architecture
Data Integration
Data Management
Data Migration
Data Modeling
MQTT
Snow Flake Schema
Job Details
This urgent requirement candidates local to Houston, TX with experience or familiarity in Plastic Manufacturing Industry.
Key Responsibilities:
- Data Migration & Snowflake Implementation:
- Plan, design, and execute data migration to Snowflake from legacy systems.
- Build robust data pipelines and packages using Snowflake-specific tools and frameworks (Source: SG25-TREND 6).
- AWS Development & Integration:
- Create and deploy AWS Lambda functions to automate and streamline data processes.
- Utilize AWS services such as S3, EC2, and Redshift for data storage, processing, and analysis (Source: SG25-TREND 6).
- Data Modeling:
- Develop and maintain logical and physical data models optimized for business intelligence and decision-making.
- Ensure the integrity, accuracy, and security of data architecture through meticulous modeling practices.
- Architecture Design & Implementation in Manufacturing Context:
- Apply knowledge of the plastics industry or manufacturing processes to design relevant, scalable data systems.
- Work closely with stakeholders to understand manufacturing data needs and translate them into effective data solutions (Source: Manufacturing Industry Tab).
- Best Practices & Leadership:
- Collaborate with cross-functional teams to align on data storage, processing, and governance strategies.
- Stay current with emerging data architecture trends, ensuring adherence to industry best practices (Source: Data analytics and business intelligence trend).
Required Skills and Qualifications:
- Proficiency in Snowflake for data migration, storage, and analytics.
- Expertise in Dataverse and experience with AWS services (including Lambda, S3, Redshift, and EC2).
- Hands-on experience or familiarity with Kepware MQTT language for industrial IoT applications.
- Solid understanding of manufacturing processes, especially in the plastics industry, is highly desirable.
- Proven experience in data modeling and architecting large-scale data systems.
- Strong communication skills to collaborate with stakeholders and present complex technical concepts.
Preferred Skills:
- Certifications in AWS or Snowflake would be a plus
- Experience with IoT data integration and cloud infrastructure design.
- Knowledge of cybersecurity best practices for data management.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.