Job Description

Job Title: Data Engineer & Analyst

Location: Atlanta, GA

Duration: / Term: 6+ months

Job Description:

Experience Desired: 8+ Years.

Data Analysis and Engineering

Data Engineer & Analyst with expertise in event processing, data analysis, and AI-driven data enrichment to drive the development of an API Lifecycle Management Application. This role will focus on data categorization, enrichment, and leveraging LLM AI models while ensuring compliance with standards and policies. The ideal candidate will work with multiple stakeholders to integrate and analyze data from various sources, enhancing API discoverability and compliance monitoring.

Key Responsibilities:

• Data Engineering & Analysis: Process, analyze, and enrich data using Python, Node.js, and Java Spring Boot.
• AI & LLM Utilization: Leverage LLMs for contextualized API similarity searches, duplicate variant identification, and consolidation.
• API Lifecycle Management: Develop and maintain an application that organizes APIs, ensuring they are discoverable and comply with standards.
• Integration & Data Processing: Connect multiple data sources, including cloud DNS, firewalls, ServiceNow, observability platforms, and traffic processing tools (e.g., WAF, BOT, Gateways).
• Compliance & Governance: Measure API standards compliance, identify gaps, and work on remediation efforts.
• Stakeholder Collaboration: Partner with internal teams to educate on API standards, governance best practices, and compliance improvements.

Required Qualifications:

• 3+ years of experience in Data Engineering, AI/ML utilization, or API Management.
• Strong proficiency in Python, Node.js, and Java Spring Boot.
• Experience with API governance, compliance measurement, and remediation.
• Hands-on experience with event processing, data categorization, and AI-driven data analysis.
• Familiarity with cloud platforms, observability tools, and network security integrations.
• Strong problem-solving skills and ability to work in a cross-functional team.

• Preferred Qualifications:

• Knowledge of LLM AI models for data processing and enrichment.
• Experience with API inventory management and discoverability solutions.
• Understanding of traffic processing tools like WAF, BOT, and Gateways.

Key Skills:

Data Engineering, Data Analysis, Machine Learning, Python, Java, Springboot, Nodejs

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