Description

You will design and implement scalable data architectures and processing pipelines.

Responsibilities

• Design and develop efficient data architectures using Python, PySpark, and Palantir.
• Oversee the implementation of data integration and processing pipelines.
• Ensure data quality and integrity through validation and monitoring processes.
• Optimize data storage and retrieval to improve system performance.
• Provide technical guidance and mentorship to junior team members.
• Conduct code reviews and maintain documentation for all architecture and processes.

Required Skills

• 10 to 14 years of experience in data architecture roles.
• Expertise in Python.
• Hands-on experience with Palantir.
• Proficiency with PySpark.
• Proven track record of designing scalable data architectures.
• Experience translating business requirements into technical solutions.
• Ability to troubleshoot and resolve complex data processing issues.
• Any Graduate degree.

Key Skills

Education

Any Graduate