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

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EY GDS – Data and Analytics (D&A) – Manager - Palantir

Job Overview

Big Data Developer / Senior Data Engineer with 8 to 11 years of experience who would display strong analytical, problem-solving, programming, Business KPIs understanding and communication skills. They should be self-learner, detail-oriented team members who can consistently meet deadlines and possess the ability to work independently as needed. He / she must be able to multi-task and demonstrate the ability to work with a diverse work group of stakeholders for Palantir

Responsibilities And Duties

Technical -

• Design, develop, and maintain data models, integrations, and workflows within Palantir Foundry.
• Detailed understanding and Hands-on knowledge of Palantir Solutions (, Usecare, DTI, Code Repository, Pipeline Builder etc.)
• Analysing data within Palantir to extract insights for easy interpretation and Exploratory Data Analysis (, Contour).
• Querying and Programming Skills : Utilizing programming languages query or scripts (, Python, SQL) to interact with the data and perform analyses.
• Understanding relational data structures and data modelling to optimize data storage and retrieval based on OLAP engine principles.
• Distributed Frameworks with Automation using Spark APIs (, PySpark, Spark SQL, RDD / DF) to automate processes and workflows within Palantir with external libraries (, Pandas, NumPy etc.).
• API Integration : Integrating Palantir with other systems and applications using APIs for seamless data flow.
• Understanding of integration analysis, specification, and solution design based on different scenarios (, Batch / Realtime Flow, Incremental Load etc.).
• Optimize data pipelines and finetune Foundry configurations to enhance system performance and efficiency.
• Unit Testing, Issues Identification, Debugging & Trouble shooting, End user documentation.
• Strong experience on Data Warehousing, Data Engineering, and Data Modelling problem statements.
• Knowledge of security related principles by ensuring data privacy and security while working with sensitive information.
• Familiarity with integrating machine learning and AI capabilities within the Palantir environment for advanced analytics.

Non-Technical

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