Senior Palantir Data Software Engineer

EPAM Systems India Pvt Ltd

Chennai District

On-site

INR 3,600,000 - 6,000,000

Full time

14 days+

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Job summary

EPAM Systems India Pvt Ltd in Chennai is seeking a Senior Palantir Data Software Engineer to design and implement advanced data pipelines and analytics solutions. You will leverage Palantir Foundry, Python, PySpark, and SQL to transform large-scale datasets for Insurance domain decisions.

Collaborate in an Agile team, optimize ETL processes, document workflows, and stay current with industry trends. A strong background in data warehousing and ELT is required.

Qualifications

  • Bachelor's degree or equivalent in Computer Science, Data Science, or related field.
  • Experience with large-scale distributed computing systems.

Responsibilities

  • Design and implement robust data pipelines using Palantir Foundry to enable data-driven decision-making.
  • Optimize and maintain ETL processes utilizing Python, PySpark, and SQL to transform large-scale datasets efficiently.
  • Apply data warehousing concepts and ELT techniques to develop scalable data solutions.
  • Collaborate with cross-functional teams in a Scrum/Agile environment to deliver high-quality solutions.
  • Perform data analysis and debugging to identify and resolve issues in complex data pipelines.

Skills

Palantir Foundry
Python
PySpark
SQL
Data warehousing
ELT
Scrum/Agile
Big Data

Education

Bachelor's degree in Computer Science / Data Science

Tools

Palantir Foundry
Spark SQL

Job description

# Senior Palantir Data Software EngineerOffice in ChennaiData Software Engineering& othersSenior Java Engineer - AI NativeSenior Palantir Data Software EngineerSenior AI EngineerSenior Java Engineer - AI NativeSenior Software Engineer - GolangSenior Power Apps DeveloperSenior Java Engineer - AI NativeSenior Software Engineer - .NET with AISenior AI EngineerSenior Java Engineer - AI NativeWe are seeking a skilled **Senior Palantir Data Software Engineer** to join our team and contribute to a complex Data Transformation project within the Insurance domain.In this role, you will have the opportunity to design and implement advanced data pipelines and analytics solutions, leveraging cutting-edge Big Data and Machine Learning technologies to solve emerging challenges and support critical business decision-making.Responsibilities* Design and implement robust data pipelines using Palantir Foundry to enable data-driven decision-making* Optimize and maintain ETL processes utilizing Python, PySpark, and SQL to transform large-scale datasets efficiently* Apply data warehousing concepts and ELT techniques to develop scalable data solutions* Collaborate with cross-functional teams in a Scrum/Agile environment to deliver high-quality solutions* Perform data analysis and debugging to identify and resolve issues in complex data pipelines* Bridge technical and business knowledge to ensure alignment of data solutions with Insurance domain objectives* Document processes, workflows, and functionality to ensure transparency and ease of future updates* Stay updated on industry trends and emerging technologies for potential adoption* Participate in global, culturally diverse team interactions with effective communicationRequirements* Bachelor's degree or equivalent in Computer Science, Data Science, or a related field* At least 5 years of experience with a focus on large-scale distributed computing systems* Hands-on development experience with Palantir Foundry* Proficiency in Python, PySpark, and SQL (Spark SQL preferred) for developing and optimizing complex data pipelines* Extensive knowledge of data warehousing concepts and ELT techniques, and understanding of Insurance domain is highly desirable* Experience with Scrum and Agile methodologies for project delivery* Showcase of strong analytical thinking and the ability to address intricate challenges* Self-motivated with good time management skills, capable of owning tasks from inception to delivery* Strong interpersonal and verbal/written communication skills, including clarity in complex contexts* Upper-Intermediate (B2) or higher proficiency in English
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