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

Ernst & Young Advisory Services Sdn Bhd; Ernakulam; On-site; INR 6,75,000 - 9,00,000; Full time

Job summary

A leading global consulting firm is seeking a Manager in AI and Data to join their team in Kerala, India. This role requires 8 to 11 years of experience, focusing on data engineering and solutions using Palantir. Responsibilities include designing and maintaining data models, data analysis for insights, and collaborating with stakeholders for improvement. Ideal candidates should possess strong analytical and problem-solving skills along with expertise in relevant programming languages and frameworks.

Qualifications

• 8 to 11 years of experience in data engineering.
• Strong hands-on knowledge of Palantir Solutions.
• Experience with distributed frameworks and automation.
• Understanding of data privacy and security principles.

Responsibilities

• Design, develop, and maintain data models within Palantir.
• Analyse data for insights and exploratory data analysis.
• Integrate Palantir with other systems using APIs.
• Collaborate with stakeholders for continuous improvement.
• Provide training and support to end-users.

Skills

Analytical skills

Problem-solving

Programming (Python, SQL)

Data analysis

Communication skills

Detail-oriented

Self-learner

Multi-tasking

Tools

Palantir Foundry

Data Warehousing

PySpark

SQL

Pandas

NumPy

API Integration

Job description

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

Other locations: Primary Location Only

Requisition ID: 1635062

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.

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 (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