Description

Own data infrastructure and analytics workflows using Palantir Foundry and Snowflake.

This role is on-site.

Responsibilities

• Build and maintain ETL/ELT pipelines for batch and near real-time data ingestion.
• Design data models and optimize performance tuning within Snowflake.
• Implement unsupervised clustering and classification for structured and unstructured data.
• Create apps, reports, and dashboards using Palantir Foundry.
• Ensure data governance, quality, and lineage across all pipelines.

Required Skills

• 5+ years of experience in data engineering roles.
• Deep expertise with Palantir Foundry (Ingestion, Ontology, Analytics Workflows).
• Advanced SQL, performance tuning, and data modeling in Snowflake.
• Proficiency in Python for data processing and automation.
• Experience with Spark and distributed processing.
• Knowledge of GraphQL and SparkQL querying.
• Strong understanding of data governance, quality, and lineage.
• Bachelor's degree in any discipline.

Preferred Skills

• Familiarity with dbt, Airflow, Kafka, or streaming platforms.
• Experience with BI tools like Power BI, Tableau, or Looker.

Key Skills

Education

Any Gradute