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Zyntek; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Zyntek in Houston, TX is seeking a Data Engineer proficient in SQL, Python, Spark to design scalable data solutions within a Palantir Foundry environment. You will optimize data pipelines and collaborate with offshore team to translate business requirements into technical solutions.

Responsibilities include developing data models, ontology layers, and dashboards while ensuring data quality and governance across Palantir-based solutions.

Qualifications

• Experience building scalable data pipelines in a Palantir Foundry environment.
• Strong SQL, Python, and Spark skills for data processing and analytics.
• Knowledge of Hadoop, PySpark, and data governance practices.

Responsibilities

• Design and optimize scalable data pipelines and workflows.
• Collaborate with stakeholders to translate business requirements into data solutions.
• Maintain data models, ontology layers, and dashboards to support analytics.
• Monitor data quality and governance standards across Palantir-based solutions.
• Leverage Palantir modules Contour, Quiver, and Vertex for app development.

Skills

SQL

Python

Spark

Hadoop

TypeScript

Data Modeling

Data Governance

Tools

Palantir Foundry

Contour

Quiver

Vertex

App Development

Code Repository

PySpark

Job description

Job Summary:Seeking a skilled Data Engineer proficient in SQL Python Spark to design and optimize scalable data solutions within Palantir Foundry environment.Job Description:Must have strong knowledge of SQL Python Spark and HadoopExperience with Python Spark and TypeScript for data processing and application developmentOptimize performance of data transformations and analytical queriesCollaborate with cross-functional teams to understand business requirements and translate them into effective data solutions with offshore teamFamiliarity with designing and implementing scalable data pipelines and workflows using Palantir FoundryWorking knowledge of Palantir modules such as Contour Quiver Vertex and app developmentDevelop and maintain data models ontology layers and operational dashboardsEnsure data quality integrity and governance across all Palantirbased solutionsStay updated with Palantir platform updates and best practicesDesired skills include Workshop level 4 Quiver level 4 AIP level 3 Pipeline Builder level 3 Code Repository level 3 PySpark level 3 and Ontology level 3

Required skills

Roles and Responsibilities:

• Design develop and optimize scalable data pipelines and workflows
• Collaborate with stakeholders to gather and analyze business requirements
• Translate business needs into technical data solutions leveraging Palantir Foundry
• Maintain and enhance data models ontology layers and dashboards to support analytics
• Monitor and improve data quality integrity and governance standards
• Utilize modules like Contour Quiver and Vertex for application development
• Participate in code repository management and pipeline building activities
• Continuously update skills and knowledge on Palantir platform features and best practices