Palantir Data Engineer at EXL Talent Acquisition Team

, , India -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Palantir Foundry, AWS, Microservices Architecture, AI/ML Frameworks, ETL Workflows, Data Pipelines, Python, PySpark, TensorFlow, PyTorch, Apache Spark, Kafka, Snowflake, DevOps, Docker

Industry

Business Consulting and Services

Description

Job Description: Data Engineer with Palantir Expertise We are seeking a seasoned Data Engineer with 6 years of experience in data engineering, AWS, microservices architecture, and AI/ML frameworks, along with hands-on expertise or certification in Palantir Foundry. The ideal candidate will work on designing scalable data solutions, building robust pipelines, and integrating machine learning models into data workflows. Location - Gurugram Key Requirements: 3-6-years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing. Proven expertise or certification in Palantir Foundry is highly preferred. Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift). Proficiency in programming languages such as Python, PySpark Deep understanding of microservices architecture and distributed systems. Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines. Experience with big data technologies like Apache Spark, Kafka, and Snowflake. Strong problem-solving and performance optimization skills. Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes. Experience working in agile environments delivering complex data engineering solutions. EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Responsibilities

The role involves designing scalable data solutions and building robust data pipelines, integrating machine learning models into these data workflows.