Palantir Architect with Python and Pyspark
2 weeks ago
Experience Level: 15 years
Note: 100% remote
Skills: Python,Palantir,PySpark
Responsibilities
- Design and develop scalable and efficient data architectures using Python, PySpark, and Palantir.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Provide technical guidance and mentorship to junior team members to ensure best practices are followed
- Oversee the implementation of data integration and data processing pipelines.
- Ensure data quality and integrity by implementing robust data validation and monitoring processes.
- Optimize data storage and retrieval processes to enhance system performance.
- Conduct code reviews and provide constructive feedback to improve code quality.
- Stay updated with the latest industry trends and technologies to incorporate them into the architecture.
- Develop and maintain comprehensive documentation for all data architecture and processes.
- Troubleshoot and resolve any issues related to data architecture and processing.
- Collaborate with stakeholders to define data governance policies and ensure compliance.
- Participate in project planning and provide accurate estimates for development tasks.
- Contribute to the continuous improvement of the development process and tools.
Qualifications
- Possess strong technical skills in Python, PySpark, and Palantir.
- Demonstrate excellent problem-solving abilities and attention to detail.
- Have a proven track record of designing and implementing scalable data architectures.
- Show experience in mentoring and guiding junior team members.
- Display a proactive approach to staying updated with industry trends and technologies.
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