​Responsibilities:

· Design, develop, and maintain scalable data pipelines using SPARQL and Python to extract, transform, and load data into graph databases.

· Create and optimize complex SPARQL queries to retrieve and analyze data from graph databases.

· Develop graph-based applications and models to solve real-world problems and extract valuable insights from data.

· Collaborate with data scientists and analysts to understand their data requirements and translate them into effective data pipelines and models.

· Ensure data quality and integrity throughout the data pipeline process.

· Stay up-to-date with the latest advancements in graph databases, data modeling, and programming languages.

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Qualifications:

· Bachelor's degree in Computer Science, Data Science, or a related field.

· Proven experience with SPARQL and Python programming languages.

· Strong understanding of graph databases (e.g.,RDF, Neo4j, GraphDB).

· Experience with data modeling and schema design.

· Knowledge of data pipeline tools and frameworks (e.g., Apache Airflow, Luigi).

· Excellent problem-solving and analytical skills.

· Ability to work independently and as part of a team. Clinical knowledge