Senior Big Data Engineer (Palantir)

As a Senior Big Data Engineer at Nagarro, you will be responsible for designing and delivering impactful data solutions across various domains. This includes developing a comprehensive technical migration plan that involves data ingestion, transformation, storage, and access control via Azure Data Factory and data lake solutions. Additionally, you'll ensure data quality and integrity throughout the data pipeline and provide guidance to cross-functional teams during migration and post-migration phases.

To apply for the Senior Big Data Engineer role at Nagarro, candidates should have extensive experience in big data technologies and Palantir. A strong background in cloud computing, data engineering, and analytics, especially working with Azure Data Factory and data lakes, is essential. Technical leadership skills and a problem-solving mindset are crucial to guide teams through complex challenges in data migration and processing.

Nagarro truly values the growth of its employees. As a Senior Big Data Engineer, you will have numerous opportunities for professional development, including access to the latest industry tools and technologies. You'll be encouraged to stay current with advancements in cloud computing and data engineering, allowing you to recommend best practices and innovate within your role while connecting with a global network of over 17,500 experts.

In the Senior Big Data Engineer position at Nagarro, you will work on diverse and impactful projects across various domains like Supply Chain, Finance, HR, and Customer Experience. These projects will often focus on developing data solutions, designing migration plans, and building frameworks for real-time data processing, ensuring you have the chance to make meaningful contributions to different business areas.

Collaboration is at the heart of Nagarro's work culture. As a Senior Big Data Engineer, you will routinely collaborate with cross-functional teams, including product managers, data scientists, and other engineers. This teamwork will not only help you to deliver impactful data solutions across various domains but also fosters an environment where innovative ideas and shared knowledge thrive.

When answering this question, focus on specific projects where you've utilized Palantir. Describe the objectives, your role, and the impact of your contributions. Highlight technical skills and how you overcame challenges to deliver successful outcomes.

Detail your approach to data quality assurance. Discuss your methods for data validation and cleansing, and share specific examples of how you've implemented these processes in previous roles to maintain high standards during data migrations.

Discuss your systematic approach to creating a data migration plan. Mention the key steps you consider, such as assessment of legacy systems, data mapping, risk analysis, and stakeholder engagement. Highlight any frameworks you’ve utilized that promote efficiency and effectiveness.

Share your practical experience using Azure Data Factory and managing data lakes. Explain how these technologies have allowed you to boost efficiency in data processing and emphasize any specific projects where you successfully implemented them.

Outline your methods for keeping informed, such as following industry news, participating in webinars, attending conferences, and joining relevant professional communities. Sharing how you’ve implemented new findings into your work will strengthen your response.

Describe your conflict resolution style, emphasizing collaboration and open communication. Share a specific example demonstrating how you effectively resolved a past conflict, thereby strengthening team morale and productivity.

Discuss the importance of providing technical guidance, mentoring junior team members, and facilitating collaboration within the team. Highlight how leadership can inspire innovation and drive project success.

Illustrate your approach to designing scalable solutions. Discuss considerations such as architecture design, technology choices, and performance optimization techniques you’ve successfully used in previous roles.

List the specific event-based and streaming technologies you have experience with, such as Apache Kafka or AWS Kinesis. Provide examples of how you've implemented these technologies to solve real-time processing challenges.

Express your enthusiasm for Nagarro’s innovative culture and growth potential. tie your personal values and career goals with Nagarro's mission and the exciting impact you can make in the Senior Big Data Engineer role.