Palantir Platform Engineer - AI-Driven Data Pipelines
Accenture-Federal-Services-2
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Job summary
Accenture Federal Services in the United States is seeking a Palantir Platform Engineer to integrate ETL workflows into the Palantir Foundry platform, connect ETL conditioners, and improve observability for faster data conditioning. You will design data pipelines with PySpark and Python, apply AI to accelerate processing, and validate products before analytics deployment within cross-functional teams.
An emphasis on data governance and ontology modeling guides development, alongside DevOps
Qualifications
- 8+ years of experience in DevOps or related field.
- Expertise building and integrating ETL pipelines.
- Proficiency in PySpark and Python.
- Experience leveraging AI to augment data pipelines.
Responsibilities
- Connect ETL conditioners to Palantir tooling to enhance observability and accelerate data conditioning.
- Ensure stakeholders have comprehensive insight into each phase of the transformation process.
- Design and implement robust data pipelines using PySpark and Python.
- Harness AI to augment and optimize data pipelines for large datasets.
Job description
Accenture Federal Services in the United States is seeking a Palantir Platform Engineer to integrate ETL workflows into the Palantir Foundry platform, connect ETL conditioners, and improve observability for faster data conditioning. You will design data pipelines with PySpark and Python, apply AI to accelerate processing, and validate products before analytics deployment within cross-functional teams.
An emphasis on data governance and ontology modeling guides development, alongside DevOps
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