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EY - GDS Consulting - AI And DATA - Palantir - Senior

3 - 6 years

14 - 19 Lacs

Kolkata

Posted:1 month ago| Platform: Naukri logo

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Skills Required

Machine Learning Capital Markets Data Engineering AI Big Data Data Analysis Data Warehousing Data Privacy

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a skilled Big Data Developer/Senior Data Engineer with 3 to 6+ years of experience who can design, develop, and maintain data models, integrations, and workflows within Palantir Foundry. The ideal candidate should have strong analytical, problem-solving, programming, business KPIs understanding, and communication skills. ### Roles and Responsibility Design, develop, and maintain data models, integrations, and workflows within Palantir Foundry. Analyze data within Palantir to extract insights for easy interpretation and exploratory data analysis. Utilize programming languages and scripts to interact with the data and perform analyses. Optimize data storage and retrieval based on OLAP engine principles. Integrate Palantir with other systems and applications using APIs for seamless data flow. Collaborate with stakeholders to identify opportunities for continuous improvement in data processes and solutions. ### Job Requirements Strong experience in Data Warehousing, Data Engineering, and Data Modelling problem statements. Hands-on knowledge of Palantir Solutions such as Usecare, DTI, Code Repository, Pipeline Builder, etc. Experience with distributed frameworks and automation using Spark APIs. Knowledge of security-related principles to ensure data privacy and security while working with sensitive information. Familiarity with integrating machine learning and AI capabilities within the Palantir environment for advanced analytics. Self-driven learning of technologies adopted by organizational requirements. Ability to work independently and consistently meet deadlines. Detail-oriented team member who can multitask and demonstrate the ability to work with a diverse work group of stakeholders for healthcare/Life Science/Pharmaceutical domains.

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