Middle/Senior Data Engineer (Apache NiFi)

As a Middle/Senior Data Engineer at Nagarro, your primary responsibilities will include identifying, designing, and implementing Apache NiFi integrations tailored to meet specific business process needs. Additionally, you'll manage project activities, such as estimation, planning, and ensuring quality in outputs. You'll also play a crucial role in collaborating with other teams to support CRM roll-outs and data migrations, all while ensuring the operational effectiveness of the systems in place.

To excel in the Middle/Senior Data Engineer role at Nagarro, you should have 5-8 years of experience with Apache NiFi and other ETL tools. Proficiency in relational databases, familiarity with cloud services (like AWS or Azure), and a good grasp of HTTP protocols and REST API design are also essential. A collaborative mindset and experience in Agile methodologies will further enrich your capability to thrive in this dynamic environment.

Nagarro is committed to the growth of its employees, including Data Engineers. We provide a dynamic and non-hierarchical work culture that encourages continuous learning through various training opportunities, mentorship programs, and cross-functional collaborations. This enables our Data Engineers to enhance their skills in innovative technologies and best practices in data management and integration.

A typical workday as a Middle/Senior Data Engineer at Nagarro involves engaging in various tasks, including developing and configuring Apache NiFi integrations, working closely with stakeholders to understand their needs, testing solutions alongside QA professionals, and actively participating in Agile stand-ups and retrospectives. Collaboration with other teams, such as the ETL and CRM teams, is also a significant part of your day-to-day activities.

Yes, Nagarro offers remote work opportunities for the Middle/Senior Data Engineer position. We understand the importance of flexibility and strive to create a working environment that allows our employees to thrive, regardless of their location. You will be part of a global team that values collaboration and effective communication, regardless of where you're based.

In an interview, highlight specific projects where you've utilized Apache NiFi for data integration and ETL processes. Provide examples of how you designed and implemented integration solutions, challenges faced, and how you resolved them to deliver successful outcomes.

Emphasize your understanding of data migration as a critical process in ensuring seamless transitions between legacy systems. Discuss your previous experiences, the strategies employed for migrations, and how you ensured data integrity and accuracy throughout the process.

A good approach is to explain your methodology in identifying the root causes of issues in Apache NiFi implementations. Talk about the tools and techniques you use for monitoring workflows, logging errors, and making data-driven decisions to resolve any challenges effectively.

Discuss your familiarity with cloud platforms like AWS or Azure and how you've utilized them to deploy applications, manage data pipelines, or optimize ETL processes. Highlight your understanding of cloud architecture and the benefits it brings to data engineering projects.

In your response, detail your hands-on experience with REST APIs, how you've implemented them in data integration projects, and any challenges you faced. Be sure to include how you managed authentication, rate limiting, and error handling.

Explain your approach to quality assurance, which should include unit testing, end-to-end testing, and collaboration with QA professionals. Discuss how you ensure your integrations meet the required standards and how you incorporate feedback loops.

Discuss the tools and techniques you utilize to collaborate effectively in a remote setup. Mention the importance of communication platforms, regular check-ins, and fostering a culture of transparency and collaboration among team members.

Share a specific example from your experience that illustrates your problem-solving skills. Begin by describing the issue, your thought process, the actions you took, and the final results that demonstrated your effectiveness as a Middle/Senior Data Engineer.

Articulate your approach to task management, including your preferred methods for prioritizing tasks based on urgency and importance, and how you utilize project management tools to track progress and deadlines effectively.

Share your insights into the evolving field of data engineering and how Apache NiFi fits into that future. Discuss trends such as real-time data processing, machine learning integration, and the growing need for data-driven decision-making in businesses.