Description

You will own the design and implementation of large-scale data engineering and analytics workflows, focusing on real-time streaming and semantic modeling.

This role is on-site.

Responsibilities

• Build and maintain big data processing and real-time streaming pipelines.
• Implement graph ontology and semantic modeling using GraphQL or SPARQL.
• Develop and manage data workflows within Databricks.
• Deliver independent data analytical solutions for complex business problems.

Required Skills

• 10+ years of experience in Data Engineering and Analytics.
• Expert-level proficiency in Python and PySpark.
• Hands-on experience with the Databricks platform.
• Proficiency in GraphQL or SPARQL.
• Experience with graph ontology and semantic modeling.
• Strong analytical skills for big data environments.
• Bachelor's degree or equivalent graduate education.

Preferred Skills

• Experience with complex business problem solving.
• Advanced knowledge of real-time streaming architectures.

Key Skills

Education

Any Gradute