Data Integration Engineer

Data Integration

Azure DevOps (Optional): Experience with Azure DevOps for CI/CD pipelines and project management (optional but preferred).

Metaphactory by Metaphacts (Very Optional): Familiarity with Metaphactory, a platform for knowledge graph management (very optional).

LLM / Machine Learning Experience: Experience with Large Language Models (LLM) and machine learning techniques.

Big Data Solutions (Optional): Experience with big data solutions is a plus.

SnapLogic / Alteryx / ETL Know-How (Optional): Familiarity with ETL tools like SnapLogic or Alteryx is optional but beneficial.

Professional Experience

Professional Software Development: Demonstrated experience in professional software development practices.

Years of Experience: 3-5 years of relevant experience in software development and related technologies.

3Soft Skills

Strong problem-solving skills.

Excellent communication and teamwork abilities.

Ability to work in a fast-paced and dynamic environment.

Strong attention to detail and commitment to quality.

Fluent in English (spoken and written)

Educational Background

A degree in Computer Science, Engineering, or a related field is preferred.

Mandatory Skills

Python (Data Ingestion Pipelines): Proficiency in building and maintaining data ingestion pipelines using Python.

Blazegraph: Experience with Blazegraph technology.

Neptune: Familiarity with Amazon Neptune, a fully managed graph database service.

Knowledge Graph (RDF, Triple): Understanding of RDF (Resource Description Frework) and Triple stores for knowledge graph management.

AWS Environment (S3): Experience working with AWS services, particularly S3 for storage solutions.

GIT: Proficiency in using Git for version control.