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Data Engineer
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Data Engineer
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Data Engineer
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Network/Data Engineer
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Data Scientist/AI Engineer
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Manager - Projects Unit
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Manager - Programs/projects
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Diesel Mechanic/Technician I
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Project Accountant
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Process Engineer
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Civil Engineer
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Fortgordonalliance Augusta, United StatesThe Sr. Data Center Engineer will be responsible for include designing, configuring, maintaining, and troubleshooting customer specific architectures. · From CDW Wed, 12 Jan :19:46 GMT View all Augusta, GA jobs · *Source:* · ...
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Quality Control Manager
1 week ago
Precipart Farmingdale, United StatesPrecipart, located in Farmingdale, NY, is looking to hire a detail-oriented Quality Control Manager to lead our quality efforts and take our standards to new heights. As a Quality Control Manager, you will play a crucial role in developing and implementing quality control process ...
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Administrative Assistant
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Logistics Manager
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Aviation Safety Assistant
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Facilities Maintenance Manager
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Technical Support Manager
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Data Scientist
4 days ago
SAIC Augusta, United States· SAIC is a premier Fortune 500 technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligen ...
Junior Data Engineer - Augusta, United States - Remotely
Description
This is a remote position.Junior Data Engineer (1 year experience, remote)
Be part of our future This job posting builds our talent pool for potential future openings. We'll compare your skills and experience. Against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from the US/Canada residents during the application process.
Hiring Type:
Full-Time
Base Salary:
$57K-$67K Per Annum.
Position Summary
Join the fast-paced, innovative, and collaborative environment focused on providing an AIOps platform that enhances the intelligence of the CVS Health infrastructure.
Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health's IT operations.
Key Responsibilities include:
Data pipeline development:
Designed, implemented, and managed data pipelines for extracting, transforming, and loading data from various sources into data lakes for processing, analytics, and correlation.
Data modeling:
Create and maintain data models ensuring data quality, scalability, and efficiency
Develop and automate processes to clean, transform, and prepare data for analytics, ensuring data accuracy and consistency
Data Integration:
Integrate data from disparate sources, both structured and unstructured to provide a unified view of key infrastructure platform and application data
Utilize big data technologies such as Kafka to process and analyze large volumes of data efficiently
Implement data security measures to protect sensitive information and ensure compliance with data and privacy regulation
Create/maintain documentation for data processes, data flows, and system configurations
Performance Optimization- Monitor and optimize data pipelines and systems for performance, scalability and cost-effectiveness
Characteristics of this role:
Team Player:
Willing to teach, share knowledge, and work with others to make the team successful.
Communication:
Exceptional verbal, written, organizational, presentation, and communication skills.
Creativity:
Ability to take written and verbal requirements and come up with other innovative ideas.
Attention to detail:
Systematically and accurately research future solutions and current problems.
Strong work ethic:
The innate drive to do work extremely well.
Passion:
A drive to deliver better products and services than expected to customers.
Required Qualifications
2+ years of programming experience in languages such as Python, Java, SQL
2+ years of experience with ETL tools and database management (relational, non-relational)
2+ years of experience in data modeling techniques and tools to design efficient scalable data structures
Skills in data quality assessment, data cleansing, and data validation
Preferred Qualifications
Knowledge of big data technologies and cloud platforms
Experience with technologies like PySpark, Databricks, and Azure Synapse.
Education
Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent working experience
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