Role: Foundry Engineer
Location: Alexandria, VA (hybrid 2-3 days per week onsite)
Clearance Required: Active Secret Clearance Required to Start Top Skills
Palantir Foundry
Bachelors' Degree
Data Engineering tools
Cloud Platforms Seeking a Senior Data Engineer to join our team and support the setup, maintenance, and development of data pipelines and sources. In this role, you will leverage your expertise in data engineering and the platform to ensure seamless integration, transformation, and availability of data for analytics and operational use. Data Integration: Design, implement, and maintain data pipelines to ingest data from various internal and external sources into
Ensure data is properly formatted, cleansed, and enriched for downstream use Platform Maintenance: Monitor and troubleshoot data pipelines and connections to maintain operational reliability and performance
Perform regular updates and optimizations to data assets and ensure compliance with organizational standards Development and Transformation: Use tools to create and maintain datasets, data models, and ontologies to support analytical and operational use cases
Collaborate with data scientists and analysts to build and refine workflows, pipelines, and templates within Collaboration and Governance: Work closely with business and technical teams to understand data requirements and align solutions with organizational goals
Implement and enforce data governance best practices, including metadata management and access controls within Innovation and Improvement: Identify opportunities to improve data pipelines and processes, leveraging 's capabilities for scalability and efficiency
Stay up to date on emerging features and best practices to enhance platform usage Required Qualifications Bachelor's Degree in Information Systems / Information Technology or related field
Minimum 6 years strong data engineering experience, including configuration, development, and maintenance of technology systems
Must have an active Secret Clearance
Proficiency in data engineering tools and technologies such as Python, SQL, and ETL frameworks
Solid understanding of data modeling, ontologies, and metadata management
Experience with cloud platforms (e.g., AWS, Azure, or GCP) and integrating data from various on-premises and cloud-based sources
Familiarity with best practices in data governance, security, and compliance Experience working in a federal or regulated industry environment
Experience working with Palantir Foundry, including creating pipelines, establishing and maintaining objects, and monitoring health of data
Knowledge of big data frameworks (e.g., Hadoop, Spark) and their integration with
Strong analytical and problem-solving skills with a focus on performance optimization
Excellent communication and collaboration skills Thanks and Regards,
Murali Sharma
Direct no#: (202) 828-3494.
Email:
Location: Alexandria, VA (hybrid 2-3 days per week onsite)
Clearance Required: Active Secret Clearance Required to Start Top Skills
Palantir Foundry
Bachelors' Degree
Data Engineering tools
Cloud Platforms Seeking a Senior Data Engineer to join our team and support the setup, maintenance, and development of data pipelines and sources. In this role, you will leverage your expertise in data engineering and the platform to ensure seamless integration, transformation, and availability of data for analytics and operational use. Data Integration: Design, implement, and maintain data pipelines to ingest data from various internal and external sources into
Ensure data is properly formatted, cleansed, and enriched for downstream use Platform Maintenance: Monitor and troubleshoot data pipelines and connections to maintain operational reliability and performance
Perform regular updates and optimizations to data assets and ensure compliance with organizational standards Development and Transformation: Use tools to create and maintain datasets, data models, and ontologies to support analytical and operational use cases
Collaborate with data scientists and analysts to build and refine workflows, pipelines, and templates within Collaboration and Governance: Work closely with business and technical teams to understand data requirements and align solutions with organizational goals
Implement and enforce data governance best practices, including metadata management and access controls within Innovation and Improvement: Identify opportunities to improve data pipelines and processes, leveraging 's capabilities for scalability and efficiency
Stay up to date on emerging features and best practices to enhance platform usage Required Qualifications Bachelor's Degree in Information Systems / Information Technology or related field
Minimum 6 years strong data engineering experience, including configuration, development, and maintenance of technology systems
Must have an active Secret Clearance
Proficiency in data engineering tools and technologies such as Python, SQL, and ETL frameworks
Solid understanding of data modeling, ontologies, and metadata management
Experience with cloud platforms (e.g., AWS, Azure, or GCP) and integrating data from various on-premises and cloud-based sources
Familiarity with best practices in data governance, security, and compliance Experience working in a federal or regulated industry environment
Experience working with Palantir Foundry, including creating pipelines, establishing and maintaining objects, and monitoring health of data
Knowledge of big data frameworks (e.g., Hadoop, Spark) and their integration with
Strong analytical and problem-solving skills with a focus on performance optimization
Excellent communication and collaboration skills Thanks and Regards,
Murali Sharma
Direct no#: (202) 828-3494.
Email:
Role: Foundry Engineer
Location: Alexandria, VA (hybrid 2-3 days per week onsite)
Clearance Required: Active Secret Clearance Required to Start Top Skills
Palantir Foundry
Bachelors' Degree
Data Engineering tools
Cloud Platforms Seeking a Senior Data Engineer to join our team and support the setup, maintenance, and development of data pipelines and sources. In this role, you will leverage your expertise in data engineering and the platform to ensure seamless integration, transformation, and availability of data for analytics and operational use. Data Integration: Design, implement, and maintain data pipelines to ingest data from various internal and external sources into
Ensure data is properly formatted, cleansed, and enriched for downstream use Platform Maintenance: Monitor and troubleshoot data pipelines and connections to maintain operational reliability and performance
Perform regular updates and optimizations to data assets and ensure compliance with organizational standards Development and Transformation: Use tools to create and maintain datasets, data models, and ontologies to support analytical and operational use cases
Collaborate with data scientists and analysts to build and refine workflows, pipelines, and templates within Collaboration and Governance: Work closely with business and technical teams to understand data requirements and align solutions with organizational goals
Implement and enforce data governance best practices, including metadata management and access controls within Innovation and Improvement: Identify opportunities to improve data pipelines and processes, leveraging 's capabilities for scalability and efficiency
Stay up to date on emerging features and best practices to enhance platform usage Required Qualifications Bachelor's Degree in Information Systems / Information Technology or related field
Minimum 6 years strong data engineering experience, including configuration, development, and maintenance of technology systems
Must have an active Secret Clearance
Proficiency in data engineering tools and technologies such as Python, SQL, and ETL frameworks
Solid understanding of data modeling, ontologies, and metadata management
Experience with cloud platforms (e.g., AWS, Azure, or GCP) and integrating data from various on-premises and cloud-based sources
Familiarity with best practices in data governance, security, and compliance Experience working in a federal or regulated industry environment
Experience working with Palantir Foundry, including creating pipelines, establishing and maintaining objects, and monitoring health of data
Knowledge of big data frameworks (e.g., Hadoop, Spark) and their integration with
Strong analytical and problem-solving skills with a focus on performance optimization
Excellent communication and collaboration skills Thanks and Regards,
Murali Sharma
Direct no#: (202) 828-3494.
Email:
Location: Alexandria, VA (hybrid 2-3 days per week onsite)
Clearance Required: Active Secret Clearance Required to Start Top Skills
Palantir Foundry
Bachelors' Degree
Data Engineering tools
Cloud Platforms Seeking a Senior Data Engineer to join our team and support the setup, maintenance, and development of data pipelines and sources. In this role, you will leverage your expertise in data engineering and the platform to ensure seamless integration, transformation, and availability of data for analytics and operational use. Data Integration: Design, implement, and maintain data pipelines to ingest data from various internal and external sources into
Ensure data is properly formatted, cleansed, and enriched for downstream use Platform Maintenance: Monitor and troubleshoot data pipelines and connections to maintain operational reliability and performance
Perform regular updates and optimizations to data assets and ensure compliance with organizational standards Development and Transformation: Use tools to create and maintain datasets, data models, and ontologies to support analytical and operational use cases
Collaborate with data scientists and analysts to build and refine workflows, pipelines, and templates within Collaboration and Governance: Work closely with business and technical teams to understand data requirements and align solutions with organizational goals
Implement and enforce data governance best practices, including metadata management and access controls within Innovation and Improvement: Identify opportunities to improve data pipelines and processes, leveraging 's capabilities for scalability and efficiency
Stay up to date on emerging features and best practices to enhance platform usage Required Qualifications Bachelor's Degree in Information Systems / Information Technology or related field
Minimum 6 years strong data engineering experience, including configuration, development, and maintenance of technology systems
Must have an active Secret Clearance
Proficiency in data engineering tools and technologies such as Python, SQL, and ETL frameworks
Solid understanding of data modeling, ontologies, and metadata management
Experience with cloud platforms (e.g., AWS, Azure, or GCP) and integrating data from various on-premises and cloud-based sources
Familiarity with best practices in data governance, security, and compliance Experience working in a federal or regulated industry environment
Experience working with Palantir Foundry, including creating pipelines, establishing and maintaining objects, and monitoring health of data
Knowledge of big data frameworks (e.g., Hadoop, Spark) and their integration with
Strong analytical and problem-solving skills with a focus on performance optimization
Excellent communication and collaboration skills Thanks and Regards,
Murali Sharma
Direct no#: (202) 828-3494.
Email:
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