Cenergy International
https://cdn.haleymarketing.com/templates/62343/logos/sm-logo-200x200.png
http://www.cenergyintl.com
http://www.cenergyintl.com
USD
35.00
37.67
HOUR
true
Roles and Responsibilities
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 Company 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 Company Systems interfacing with solutions in Palantir platform
Qualifications and Education Requirements
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. Experience with Industry-Specific Applications
Domain Knowledge: Understanding of the electric utility data requirements
7. 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.
Preferred:
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.
Pay Range:
The pay range for this position is $35.00- $40.00; however, the pay offered may vary depending on job-related knowledge, skills, and experience. This pay information is being provided pursuant to applicable law and is based in part on market location.
Please Note:
Must have a valid driver s license and current state-required minimum vehicle insurance coverage to drive onto Client and Company property.
For more information, please email us at june.Kim@cenergyintl.Com
Benefits:
The benefits available with this position include:
Cenergy is a dynamic, diverse, woman-owned company that has provided stellar support to our clients globally for over 25 years! We hire extraordinary people, and each of our team members are encouraged to embody our core values to drive innovation and own it with integrity and trust while adding to our positive and forward-thinking atmosphere.
IT Specialist 4
Posted: 11/08/2024
2024-11-08
2025-01-08
Job Category: Technical
Job Number: 181281
Pay Rate: $35.00 - $37.67
Job Description
Roles and Responsibilities
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 Company 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 Company Systems interfacing with solutions in Palantir platform
Qualifications and Education Requirements
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. Experience with Industry-Specific Applications
Domain Knowledge: Understanding of the electric utility data requirements
7. 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.
Preferred:
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.
Pay Range:
The pay range for this position is $35.00- $40.00; however, the pay offered may vary depending on job-related knowledge, skills, and experience. This pay information is being provided pursuant to applicable law and is based in part on market location.
Please Note:
Must have a valid driver s license and current state-required minimum vehicle insurance coverage to drive onto Client and Company property.
For more information, please email us at june.Kim@cenergyintl.Com
Benefits:
The benefits available with this position include:
- Ongoing Training (RSO, Systems, Software Programs, OSHA Safety, JJ Keller, etc.)
- Continuous Employment Development and Learning
- Ongoing Advocacy, internal assets with HSE, Legal and HR teams and experts to aid in Employee Career Path and Advancement
- 401K
- Aetna & Kaiser Group Medical Coverage
- Dental Insurance Coverage
- Vision Insurance Coverage
- Basic Life Insurance & AD&D
- Long Term Disability
- Voluntary Short-Term Disability
- Access to Health Joy
- GAP Medical Coverage
- Direct Deposit
- Health Savings and Flexible Spending Accounts
Cenergy is a dynamic, diverse, woman-owned company that has provided stellar support to our clients globally for over 25 years! We hire extraordinary people, and each of our team members are encouraged to embody our core values to drive innovation and own it with integrity and trust while adding to our positive and forward-thinking atmosphere.
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