Description

JOB DESCRIPTION:

Job Summary.
• Expertise in Palantir Data Foundry, Ontology and Python.
• Experience in Pyspark and Python Expert in writing shell scripts to execute various job scheduler Hands-on experience in Palantir & PySpark to build data pipes.
• Experience in deployment teams to execute securely in customer technical environments, design sustainable architectures, and act as a thought partner to customer.
• Good knowledge of Palantir components Good exposure to RDMS Basic understanding of Data Mappings and Workflows.
• Design, Develop and implement effective Analytics solutions and models with Palantir.
• Design, architect and implement effective Analytics solutions and models using technologies including, but not limited to – Spark and Hadoop.
• Examine and identify data warehouse structural necessities by evaluating business requirements.
• Assess Datawarehouse implementation procedures to ensure they comply with internal and external regulations.
• Prepare accurate Datawarehouse design and architecture reports for management and executive teams.
• Monitor the system's performance by performing regular tests, troubleshooting, and integrating new features.
• Recommend solutions to improve new and existing application solutions.
• Offer support by responding to system problems in a timely manner.
• Guidance to developers in preparing functional/technical specs to define reporting requirements and the ETL process.

• Guidance to developers in preparing functional/technical specs to define reporting requirements and the ETL process.

 


 

Education

Any Gradute