Description

You will design, build, and optimize scalable data pipelines and analytics platforms.

This role is hybrid.

Responsibilities

• Design, develop, and maintain ELT/ETL data pipelines for structured and unstructured data.
• Build and optimize data models and transformations within Snowflake.
• Develop scalable data processing solutions using Python.
• Integrate and manage Vector Databases to support AI/ML and LLM use cases.
• Ensure data quality, governance, performance, and security best practices.

Required Skills

• 6+ years of professional experience in data engineering.
• Strong hands-on experience with Python.
• Extensive experience with Snowflake, including data modeling and performance tuning.
• Solid understanding of ELT/ETL architectures and data pipeline design.
• Experience working with Big Data technologies and analytics platforms.
• Knowledge of Vector Databases.
• Experience integrating or supporting Large Language Models (LLMs).
• Familiarity with Graph Databases and RDF.
• Understanding of cloud-based data platforms (AWS/Azure/GCP preferred).

Key Skills

Education

Any Graduate