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Lead Palantir Data Software Engineer
EPAM Systems, Inc.
Hyderabad, IND
Full-time
Senior · 9+ years experience
Onsite
Discovered 3 weeks ago
Palantir FoundryPythonPySparkSQLSpark SQLGradle
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Palantir FoundryPythonPySpark
Key Skills for This Role
Palantir FoundryPythonPySparkSQLSpark SQLGradle
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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
Requirements
- 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
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