At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job Overview

Big Data Developer/Senior Data Engineer with 5 to 8 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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