Data Integration Engineer

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About the Role

Software Developer

Python-based data ingestion pipelines

graph database technologies

Blazegraph

Amazon Neptune

knowledge graphs (RDF, Triple Stores)

AWS environment

Key Responsibilities

• Design, develop, and maintain data ingestion pipelines using Python.
• Work with graph databases such as Blazegraph and Amazon Neptune for knowledge graph management.
• Build and manage RDF and Triple Store-based data models for semantic data representation.
• Utilize AWS services (especially S3) for data storage, integration, and pipeline automation.
• Collaborate with data engineers, ML engineers, and product teams to ensure seamless data flow.
• Apply version control best practices using Git.
• Ensure code quality, scalability, and compliance with best practices in software development.
  

Technical Skills (Mandatory)

• Python: Strong hands-on experience in building and maintaining data ingestion pipelines.
• Blazegraph: Proven experience with Blazegraph technology.
• Amazon Neptune: Familiarity with the Neptune graph database service.
• Knowledge Graphs: Understanding of RDF, Triple stores, and semantic web concepts.
• AWS Environment: Experience with AWS S3 and related services.
• Git: Proficient in version control and collaboration using Git.
  

Optional / Preferred Skills

• Azure DevOps: Experience with CI/CD pipelines and project management tools.
• Metaphactory (Metaphacts): Exposure to the Metaphactory platform for knowledge graph management.
• Machine Learning / LLMs: Familiarity with large language models and ML techniques.
• Big Data Technologies: Exposure to big data frameworks and data lake architectures.
• ETL Tools: Knowledge of ETL tools such as SnapLogic or Alteryx.
  

Professional Experience

• 3–5 years of professional experience in software development and data integration.
• Proven ability to develop scalable, reliable, and maintainable software solutions.
• Experience working in an Agile environment is an advantage.
  

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and team collaboration abilities.
• Ability to thrive in a fast-paced, dynamic environment.
• Strong attention to detail and commitment to delivering high-quality work.
• Fluent in English (spoken and written).
  

Educational Background

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).