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

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

Job Overview

Big Data Developer/Senior Data Engineer with 1 to 3+ 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 healthcare/Life Science/Pharmaceutical domains.

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 (e.g., Usecare, DTI, Code Repository, Pipeline Builder etc)
• Analysing data within Palantir to extract insights for easy interpretation and Exploratory Data Analysis (e.g., Contour).
• Querying and Programming Skills: Utilizing programming languages query or scripts (e.g., 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 (e.g., PySpark, Spark SQL, RDD/DF) to automate processes and workflows within Palantir with external libraries (e.g., 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 (e.g., 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

• Collaborate with stakeholders to identify opportunities for continuous improvement, understanding business need and innovation in data processes and solutions.
• Ensure compliance with policies for data privacy, security, and regulatory requirements.
• Provide training and support to end-users to maximize the effective use of Palantir Foundry.
• Self-driven learning of technologies being adopted by the organizational requirements.
• Work as part of a team or individuals as engineer in a highly collaborative fashion
  
  

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