Data Engineer Palantir Foundry and Ontology

Role: Data Engineer -Palantir Foundry and Ontology

Location: Chicago IL or Irving TX

Work Mode: Hybrid 3 Days Work from Office

Interview Process: In Person Interview- Final Round

Experience: MINIMUM 10 Years

We are looking for an experienced Data Engineer with strong expertise in Databricks SQL Python ETL/ELT pipelines and Ontology-based data modeling. The role involves designing scalable data solutions building enterprise data pipelines and supporting data integration initiatives in a cloud-based environment.

Responsibilities

Design develop and maintain scalable ETL and ELT pipelines using Databricks and Python.

Build and optimize data pipelines to process large volumes of structured and unstructured data.

Develop and maintain ontology-based data models to support enterprise data management and business workflows.

Design scalable data integration solutions across multiple data sources.

Develop high-performance SQL queries and optimize data processing workloads.

Implement data quality checks validation lineage and governance processes.

Collaborate with business stakeholders architects and engineering teams to translate business requirements into scalable technical solutions.

Support cloud-based data platforms and modern data lake architectures.

Participate in data modeling performance tuning troubleshooting and production support activities.

Ensure data security reliability and compliance with enterprise standards.

Required Skills

Minimum 10 years of Data Engineering experience.

Strong hands-on experience with Databricks.

Advanced SQL programming and query optimization skills.

Strong Python development experience.

Experience building ETL and ELT pipelines.

Hands-on experience with Ontology-based data modeling or enterprise ontology platforms.

Experience with cloud data platforms such as Azure or AWS.

Knowledge of data warehousing concepts data modeling and data governance.

Experience working with REST APIs and data integration frameworks.

Strong analytical problem-solving and communication skills.

Preferred Skills

Experience with Palantir Foundry and Ontology.

Experience with Azure Data Factory Spark PySpark and Data Lake technologies.

Knowledge of data lineage metadata management and enterprise data governance.

Experience working in Agile development environments.

Education

Bachelors or Masters degree in Computer Science Engineering Information Technology or a related field. Relevant technical certifications are an added advantage.