Overview
On Site
DOE
Contract - W2
Skills
Analytical Skill
Software Design
Production Support
Oracle
Data Analysis
Modeling
Performance Improvement
Data Storage
Data Integration
Jenkins
Computer Science
Data Engineering
SQL
PL/SQL
Python
Amazon Web Services
Cloud Computing
Unix
Scripting
Scheduling
Data Modeling
Snow Flake Schema
Database
Extract
Transform
Load
Informatica
DevOps
Continuous Integration
Continuous Delivery
Agile
Scrum
Kanban
Collaboration
Job Details
; Job Summary The Data Engineer will be responsible for designing, building, and maintaining operational and analytical capabilities for the FundsNetwork Product.This role involves solution design, data analysis, production rollout, and production support activities using Python, AWS, Snowflake, and Oracle.The ideal candidate should have a strong background in data engineering, cloud technologies, and SQL development.
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; Key Responsibilities Design and develop scalable data solutions using Python, AWS, Snowflake, and Oracle.Perform data analysis and modeling, including Dimensional and Data Vault techniques.Develop and optimize SQL/PLSQL queries for performance improvement.Implement Unix scripting and scheduling tools for automation.Work with cloud technologies, particularly AWS, for data storage and processing.Utilize ETL tools like Informatica for data integration (preferred).Build and maintain CI/CD pipelines using tools such as Jenkins, Stash, Concourse, and Artifactory.Collaborate with cross-functional teams to improve system efficiency and automation.Implement DevOps and Agile methodologies (SCRUM/Kanban) in the development process.Troubleshoot and support production systems to ensure seamless operation.
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; Required Qualifications Bachelors or Masters degree in Engineering, Computer Science, or a related field.5+ years of experience in data engineering.Strong SQL/PLSQL development skills.2+ years of Python development experience.Hands-on experience with AWS or similar cloud technologies.Proficiency in Unix scripting and scheduling tools.Experience in data modeling techniques.Proven ability to analyze and optimize data queries.
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; Preferred Qualifications Experience working with Snowflake databases.Hands-on experience with ETL tools like Informatica.Familiarity with DevOps, CI/CD, and containerization.Experience in Agile methodologies (SCRUM/Kanban).Strong interpersonal skills to collaborate across multiple teams.
; Education: Bachelors Degree
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