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

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Job Overview

Big Data Developer/Senior Data Engineer with 3 to 6+ 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
  
  

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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