DBP - Palantir Developer - Data Modeling

Responsibilities :

• Design, develop, and implement end-to-end data pipelines and analytical solutions within the Palantir Foundry or Gotham platform.
• Integrate diverse datasets from various source systems (databases, APIs, files, streaming data) into the Palantir environment.
• Develop and optimize complex data models within Palantir, ensuring data quality, consistency, and usability for analytical purposes.
• Write efficient and scalable data transformation logic using Python and PySpark to cleanse, enrich, and prepare data for analysis.
• Utilize SQL for data extraction, manipulation, and querying across various data sources and within the Palantir platform.
• Collaborate closely with data scientists, analysts, product managers, and business stakeholders to understand requirements and translate them into technical solutions.
• Build and maintain custom applications, dashboards, and workflows within Palantir to support specific business needs.
• Troubleshoot and debug data issues, performance bottlenecks, and application errors within the Palantir ecosystem.
• Ensure data governance, security, and compliance standards are met throughout the data lifecycle within Palantir.
• Document technical designs, data flows, and operational procedures for developed solutions.
• Stay updated with the latest features and best practices of the Palantir platform and related Qualifications :
• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related quantitative field.
• 3+ years of professional experience in data engineering, software development, or a similar role with a strong focus on data.
• Proven hands-on experience with Palantir Foundry or Gotham, including data integration, modeling, and application development.
• Strong proficiency in Python for data manipulation, scripting, and automation.
• Solid experience with PySpark for large-scale data processing and transformations.
• Expertise in SQL for complex querying, data extraction, and database interactions.
• Demonstrated ability to design and implement robust data integration strategies from various sources.
• Experience with data modeling principles and practices, including relational and dimensional modeling.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills to effectively collaborate with technical and non-technical Qualifications :
• Master's degree in a relevant field.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with other big data technologies (Apache Spark, Hadoop, Kafka).
• Knowledge of data visualization tools and techniques.
• Experience with version control systems (Git).
• Understanding of data governance, data security, and privacy best practices

(ref : hirist.tech)