SGS Technologie

About the Company

Two Decades of Trust and Innovation:

For over 22 years, SGS Technologie has been at the forefront of digital transformation, helping businesses and government agencies navigate the evolving landscape of technology. Headquartered in Jacksonville, Florida, SGS is more than just a software development firm, it's a trusted partner in innovation.

A Name Florida Trusts:

As a proud member of JAX Chamber and a preferred technology provider for the Florida government, SGS has played a vital role in modernizing digital infrastructure for agencies like the State of Florida, JAXPORT, and the Jacksonville Aviation Authority. Our ability to deliver high-quality, cost-effective solutions has cemented our reputation as a reliable IT services provider.

Driving Digital Excellence:

At SGS, we specialize in crafting cutting-edge solutions tailored to modern enterprise needs. Our expertise spans multiple domains, including:

* Enterprise Software Development - Every organization is unique and requires solutions that seamlessly fits with their philosophy and business approach. We build custom solutions that drive efficiency and scalability.

* Mobile Application Development - For organizations that are breaking new ground and aiming to connect directly with their customers, we design seamless, engaging mobile experiences that put your brand right at their fingertips.

* IT Staffing Solutions - Your talent search ends here. We connect businesses with top-tier talent for all requirements: SOW, Full time, Remote, Temporary Staffing - we offer any and all IT Staffing models.

* Website Design & Development - Websites are the new digital business cards. We craft responsive, user-friendly and visually striking websites that spark interest and capture attention.

* Salesforce & ServiceNow Implementation - Rediscover your organizations' capabilities with top CRM and IT service management platforms.

Listed Jobs

Company Name

SGS Technologie

Job Title

Sr. Data Engineer (SQL+Python+AWS)

Job Description

**Job Title** Sr. Data Engineer (SQL+Python+AWS) **Role Summary** Build, maintain, and optimize data pipelines that move data from Oracle source systems to AWS cloud services, ensuring clean, structured data for use in analysis and machine learning (AWS SageMaker). Collaborate with data scientists, DevOps, and security teams to deliver scalable, cost‑effective, and governed data workflows. **Expactations** - Design ETL/ELT pipelines using SQL, Python, and AWS services. - Automate and schedule data movement and processing through Glue, Step Functions, or Airflow. - Ensure data quality, validation, and governance across all stages. - Work closely with data science teams to align data structures with ML workloads. - Constantly monitor, troubleshoot, and improve pipeline performance and cost efficiency. **Key Responsibilities** - Extract, transform, and load data from Oracle databases into AWS S3, Redshift, Glue, and related services. - Develop and maintain data models, schemas, and cataloging for discoverability. - Implement batch and streaming data ingestion frameworks. - Automate workflows with Glue, Step Functions, or Airflow. - Apply data quality checks, validation rules, and governance standards. - Coordinate with DevOps and security personnel to meet compliance and IAM requirements. - Integrate processed data into SageMaker workflows and support MLOps practices. - Document pipeline architecture, data lineage, and operational procedures. **Required Skills** - Strong SQL expertise and hands‑on Oracle database experience. - Proven design and implementation of ETL/ELT pipelines. - Deep familiarity with AWS services: S3, Glue, Redshift, Lambda, IAM. - Advanced Python programming (pandas, boto3, pyodbc, etc.). - Knowledge of data modeling, relational databases, and schema design. - Experience with version control, CI/CD, and automation. - Ability to collaborate with data scientists on data prep and model requirements. **Required Education & Certifications** - B.S. in Computer Science, MIS, or related field. - Minimum 5 years of related data engineering experience (or equivalent education/training).

St. petersburg, United states

Hybrid

08-12-2025

Company Name

SGS Technologie

Job Title

Lead Business Analyst(Gen AI/AI/LLM)- Only W2 and Locals for Hybrid work!

Job Description

**Job Title:** Lead Business Analyst – Gen AI/AI/LLM **Role Summary:** Guide the design, development, and deployment of agentic AI and LLM-driven solutions within a financial services context. Bridge business strategy with technical execution, ensuring compliance, governance, and measurable business impact across product and system lifecycles. **Expectations:** - Deliver full-scope functional specifications that translate enterprise goals into AI-powered product and system requirements. - Maintain clear alignment among business, engineering, data science, compliance, and governance teams to meet performance, regulatory, and ethical standards. - Drive measurable outcomes that enhance advisor productivity, client insight, and operational efficiency. **Key Responsibilities:** - Lead business discovery and requirement elicitation for agentic AI initiatives, documenting scope, acceptance criteria, and change control. - Translate AI and engineering concepts into business‑relevant narratives for executives and non‑technical stakeholders. - Collaborate with engineering, data science, and risk teams to define success metrics, validate models, and ensure compliance with data residency, privacy, and supervisory regulations. - Facilitate workshops, design reviews, and demonstrations to secure timely, informed feedback. - Oversee end‑to‑end delivery lifecycle: concept, development, testing, model validation, and release readiness. - Continuously refine business processes to leverage adaptive agentic systems. - Act as the primary liaison between business leaders, developers, and governance teams, managing priorities, trade‑offs, and dependencies. **Required Skills:** - Deep understanding of AI/ML concepts, especially agentic and LLM architectures; proficiency with frameworks such as Strands, CrewAI, LangGraph, and Agent Core. - Experience with AWS cloud environments, data pipelines, API-driven ecosystems, and structured/unstructured data, embeddings, and retrieval systems. - Strong business analysis, process optimization, and value‑mapping expertise; ability to quantify ROI and articulate competitive advantage. - Leadership capability to guide cross‑functional teams and translate ambiguity into structured outcomes. - Exceptional written and verbal communication; adept at stakeholder alignment across technical and non‑technical audiences. - Knowledge of financial services operations, risk management, and compliance implications in production AI environments. **Required Education & Certifications:** - Bachelor’s degree in Information Systems, Computer Science, or a related field (or equivalent experience). - 5+ years of experience in business analysis, product ownership, or AI‑driven transformation, preferably in regulated enterprise or financial services.

St. petersburg, United states

Hybrid

Senior

09-12-2025