Description

Build and optimize data products within a Snowflake-based data lake architecture, supporting batch and near real-time processing pipelines.

This role is on-site.

Responsibilities

• Build and publish data products to the Refined Zone in Snowflake and onboard new datasets using existing frameworks.
• Extend and hydrate the Knowledge Graph (Neo4j) as new datasets are introduced, curating metadata for discoverability.
• Implement, optimize, and maintain ETL/ELT pipelines using Python and PySpark for batch and near real-time data processing.
• Support Orion-based registration and publication processes to accelerate delivery toward the November MVP target.

Required Skills

• 10+ years of experience in data engineering, with a strong focus on Snowflake development and SQL optimization.
• Proficiency in Python and PySpark for building robust data pipelines.
• Experience with Data Lake architecture (Raw → Trusted → Refined zones) and data product development.
• Knowledge Graph concepts with hands-on experience in Neo4j.
• Experience with metadata management, data catalog integration, and REST API integration.
• Familiarity with data governance, security, and RBAC principles.
• Working knowledge of Agile/Scrum delivery models.
• Any Graduate degree.

Preferred Skills

• Marketing or Campaign data domain experience.

Key Skills

Education

Any Gradute