Description

You will design and maintain end-to-end data workflows and ML pipelines using Palantir Foundry, Snowflake, and distributed processing tools.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT pipelines for batch and near real-time data processing.
• Implement unsupervised learning models, including clustering and classification algorithms.
• Develop complex SQL queries and performance-tune Snowflake databases.
• Manage data modeling, governance, and lineage across platforms.
• Process large-scale data using Python and Spark.

Required Skills

• 5+ years of experience in data engineering or ML engineering.
• Expertise with Palantir Foundry for end-to-end workflow development.
• Advanced SQL proficiency and experience with Snowflake performance tuning.
• Strong Python skills for data processing and scripting.
• Experience with Spark or similar distributed processing frameworks.
• Deep understanding of unsupervised learning techniques (Clustering & Classification).
• Bachelor's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Bachelor's degree