Data Integration Engineer
Data Integration Engineer
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Job Description
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 KnowHow (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: 35 years of relevant experience in software development and related technologies.
3Soft Skills:
Strong problemsolving skills.
Excellent communication and teamwork abilities.
Ability to work in a fastpaced 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.
Employment Type
Full-Time
