
Senior Data Engineer for Data Strategy Development
6 days ago
Job Opportunity:
We are seeking an experienced data professional to support critical data integration and application development initiatives.
- The ideal candidate will have a strong foundation in Python, SQL, and PySpark, along with proven experience in working across data pipelines, ontologies, and security configurations within the Palantir ecosystem.
- This role requires both technical acumen and strong communication skills to engage with cross-functional stakeholders, especially in the Oil & Gas engineering context.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, SQL, and PySpark.
- Ensure data quality, integrity, and governance in Azure-based data platforms.
- Collaborate with Product Managers and Engineering teams to support business needs using data-driven insights.
Technical Requirements:
- Strong proficiency in Python, SQL, and PySpark
- Expert in Azure Databricks, Azure Data Factory, Azure Data Lake
- Palantir Foundry hands-on experience, with ability to demonstrate skills during interviews
Desirable Skills:
- Strong communication and interpersonal skills
- Ability to work independently and drive conversations with Product Managers and Engineers
Why This Role Matters:
As a key member of our team, you will play a vital role in shaping our data strategy and driving business outcomes through data-driven insights.
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