Lead Palantir Data Software Engineer

EPAM Systems; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EPAM Systems is seeking a highly skilled Lead Palantir Data Software Engineer to lead transformative data projects within the Insurance domain. You will design and manage complex data pipelines, develop scalable workflows with Python and PySpark, and architect advanced data warehousing solutions.

The ideal candidate will possess significant IT experience, hands-on Palantir Foundry skills, and excellent communication abilities to collaborate in a global environment. A Bachelor's degree in Computer Science or related field is required.

Qualifications

• 9-12 years of IT experience, including at least 5 years focused on large-scale distributed computing systems.
• At least 6 months of hands-on development experience with Palantir Foundry.
• Upper-Intermediate English proficiency (B2) or higher.

Responsibilities

• Design and manage complex data pipelines and analytics solutions.
• Develop scalable workflows using Python and PySpark.
• Optimize querying and data manipulation through SQL.

Skills

Python

PySpark

SQL

Spark SQL

Agile

Scrum

Data Warehousing

Problem-solving skills

Communication

Education

Bachelor's degree in Computer Science or Data Science

Tools

Palantir Foundry

Gradle

Job description

We are seeking a highly skilled and experienced Lead Palantir Data Software Engineer to join our dynamic team and lead transformative data projects within the Insurance domain. This role is ideal for professionals who excel at addressing complex big data challenges, leveraging cutting-edge technologies like Palantir Foundry, and building scalable analytics solutions to empower critical business decision-making.

Responsibilities

• Design and manage complex data pipelines and analytics solutions to address business challenges in the Insurance domain.
• Develop scalable workflows using Python and PySpark to handle large datasets efficiently.
• Optimize querying and data manipulation through expertise in SQL, with a preference for Spark SQL.
• Architect advanced data warehousing solutions, focusing on ELT techniques and distributed computing systems.
• Collaborate with stakeholders to align data solutions with organizational goals and requirements.
• Apply Agile and Scrum methodologies to drive iterative development processes and deliver results effectively.
• Integrate and leverage Palantir Foundry to support advanced data transformation and visualization needs.
• Analyze, troubleshoot, and resolve technical issues to ensure data solution reliability and scalability.
• Mentor team members, fostering a culture of technical growth and innovation.
• Communicate complex technical concepts clearly and professionally to diverse audiences.
• Support and enhance cross-functional collaboration in a global, multicultural team environment.

Qualifications

• Bachelor's degree or equivalent in Computer Science, Data Science, or related field.
• 9-12 years of IT experience, including at least 5 years focused on large-scale distributed computing systems.
• At least 6 months of hands-on development experience with Palantir Foundry.
• Proficiency in Python and PySpark for building and optimizing data pipelines.
• Expertise in SQL, including Spark SQL, for advanced querying and data manipulation.
• Strong knowledge of data warehousing principles and ELT techniques.
• Background in Agile and Scrum methodologies to manage and execute projects.
• Strong analytical and problem-solving skills for complex data challenges.
• Capability to work autonomously and manage workloads effectively.
• Proven ability to communicate technical solutions through written and verbal means.
• Flexibility to collaborate in a global and multicultural environment.
• English language proficiency at an Upper-Intermediate level (B2) or higher.
• Nice to have: Background in the Insurance domain or experience in Finance functions across industries.
• Nice to have: Familiarity with front-end technologies like HTML, CSS, and JavaScript.
• Nice to have: Experience with Gradle for build automation.
• Nice to have: Showcase of leading cross-functional or globally distributed teams.
• Nice to have: Understanding of machine learning principles for data-driven insights.