Description :
Education Requirement
Bachelor's Degree
Day-to-Day Responsibilities / Workload
The job function includes understanding of business requirements, defining data requirements, identifying enterprise data sources, planning, designing, and building data acquisition from sources, defining data model, taxonomy, designing data ingestion pipelines, data normalization, data transformation, and consumption using Palantir.
The position is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases.
The job function includes developing data insights, data mining, and support for AI / ML use cases training and deployment within Client analytics landscape, specifically within Palantir platform.
Specifically, the job involves :
- Manage PSPS activations - on call during activations fielding and managing communications, logging tickets, communicating and monitoring different channels
- Development of design artifacts to describe technical components of solutions for long term maintenance and support
- Development of comprehensive solutions using Palantir
- Prioritize and implement solution enhancements and support production issues
- Development of documentation for implemented solutions
- Participation in daily scrum style meetings
- Participation in sprint planning to provide estimates for assigned work
- Support of End-to-End testing with Client Systems interfacing with solutions in Palantir platform
Required Skills / Attributes
Proficiency with Palantir Foundry
- Data Integration : Experience with integrating data from multiple sources into Palantir Foundry, including ETL processes and data transformation.
- Foundry's Code Workbooks : Proficiency in using Foundry’s Code Workbooks to write and execute Python, PySpark, or SQL scripts for data processing.
- Ontology Development : Ability to model and organize data into an ontology within Foundry, creating logical structures that make data easy to access and use.
- Pipeline Management : Experience in building, managing, and optimizing data pipelines in Foundry to ensure efficient data flow and processing.
Palantir Data Governance and Security
- Data Lineage and Provenance : Understanding how to implement and utilize data lineage features within Palantir to track data origins, transformations, and usage.
- Access Control Management : Knowledge of setting up and managing data access controls within Palantir, ensuring compliance with data governance policies.
- Data Compliance : Experience ensuring data usage complies with organizational and regulatory requirements, leveraging Palantir’s compliance tools.
Data Analytics and Visualization
- Hands-on with Palantir's Visualization Tools : Proficiency in creating dashboards, reports, and other data visualizations using Palantir’s in-built tools.
- Analytical Functions : Experience using Palantir’s analytical functions to conduct complex data analysis, including statistical and predictive modeling.
Collaboration and Workflow Automation
- Knowledge of Palantir's Collaborative Features : Familiarity with Palantir’s collaboration features to work with cross-functional teams, share insights, and integrate feedback into data solutions.
- Workflow Automation : Ability to design and implement automated workflows within Palantir to streamline data processing tasks and ensure timely data delivery.
Python, SQL, and Big Data Technologies
- Programming Skills : Proficiency in Python and SQL, essential for coding custom data processing tasks within Palantir.
- Big Data Handling : Experience working with large datasets, including knowledge of distributed computing tools like Apache Spark, which can be integrated with Palantir Foundry.
Experience with Industry-Specific Applications
Domain Knowledge : Understanding of the electric utility data requirements
Troubleshooting and Optimization
- Problem-Solving Skills : Strong problem-solving skills to troubleshoot and resolve issues that arise during data integration and analysis in Palantir.
- Optimization Techniques : Knowledge of optimizing data pipelines and analytical workflows to improve performance and reduce costs.
Desired Skills / Attributes
Palantir Certification
- Certified Training : Completion of Palantir's certified training programs, which can provide a deeper understanding of platform capabilities and best practices.
- Understanding of electric utility use cases and underlying datasets (specifically Assets Management and Work management)
- Ability to perform complex analysis, consulting, and perform technical activities as assigned.
- Only those lawfully authorized to work in the designated country associated with the position will be considered.
- Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.
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