Senior Big Data Engineer (Palantir)

Company Description

👋🏼 We're Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17 500+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are seeking a highly experienced Senior Developer with expertise in Palantir to join our Business Analytics & Insights (BAI) team. The ideal candidate will collaborate with cross-functional teams to design and deliver impactful solutions across various domains, including Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.

Key Responsibilities:

• Develop a comprehensive technical migration plan involving data ingestion, transformation, storage, and access control using Azure Data Factory and data lake solutions.
• Build scalable and reusable frameworks for efficient data ingestion.
• Ensure data quality and integrity throughout the data pipeline by implementing robust validation and cleansing mechanisms.
• Work with event-based and streaming technologies for real-time data processing.
• Provide technical leadership and support, addressing technical challenges and guiding the team during migration and post-migration phases.
• Stay current with advancements in cloud computing, data engineering, and analytics technologies to recommend best practices and industry standards for data lake implementations.