Description

You will build and maintain data and knowledge infrastructure for financial services applications.

Responsibilities

• Develop and manage data pipelines using ETL/ELT processes.
• Model and query complex data structures using GraphDB and SPARQL.
• Implement data transformations utilizing Python scripting.
• Design and maintain knowledge graphs leveraging technologies like Stardog.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert proficiency in Python.
• Hands-on experience with Snowflake for data warehousing.
• Strong capability in designing and implementing Data Pipelines.
• Familiarity with GraphDB and SPARQL query languages.
• Working knowledge of R2RML.
• Experience with ETL/ELT methodologies.

Key Skills

Education

Any Graduate