Senior Big Data Engineer

As a Senior Big Data Engineer at Nexxen, your primary responsibilities will include implementing and maintaining scalable Big Data solutions, taking ownership of feature development from design to production, and collaborating with various stakeholders to enhance our data infrastructure. You'll also have the opportunity to research innovative technologies that can optimize our data processing capabilities.

To qualify for the Senior Big Data Engineer position at Nexxen, you should have at least 7 years of overall engineering experience, with a minimum of 4 years dedicated to data engineering. Proficiency in Java is essential, and experience with tools like Python, Scala, Hadoop, and Spark will give you an edge. Additionally, a Bachelor’s degree in Computer Science or a related field is required.

For the Senior Big Data Engineer role at Nexxen, a solid command of Java is crucial, along with familiarity in Python and Scala. Your expertise in these languages will enable you to effectively develop and maintain high-performance data applications and solutions that drive our business.

At Nexxen, the team culture emphasizes collaboration, eagerness to learn, and commitment to customer success. As a Senior Big Data Engineer, you will be part of a dynamic team that values diverse perspectives and lays out a clear path for personal and professional growth, fostering a work environment where everyone can share ideas without egos getting in the way.

In the role of Senior Big Data Engineer at Nexxen, you will work on a variety of projects such as building scalable data pipelines, optimizing existing data applications, and implementing new data management solutions. Your projects will also involve collaborating with other teams to integrate data solutions into key business processes, and contributing to the design of our advanced data infrastructure.

Certainly! Data architecture is vital in Big Data engineering because it determines how data is collected, stored, processed, and accessed. A robust data architecture enables scalability, efficiency, and reliability, ensuring that data flows seamlessly from one stage to another. When discussing this in your interview, highlight your experience in designing complex systems that optimize data utilization.

When answering this question, provide specific examples of projects where you utilized Hadoop or Spark for data processing. Discuss any challenges you faced and how you overcame them, showcasing your problem-solving skills. Be sure to touch on result metrics to demonstrate the impact of your work.

To address data discrepancies, I employ various validation techniques to ensure data integrity throughout the ETL process. During the interview, share a real-world scenario where you identified and resolved discrepancies, illustrating your proactive nature and commitment to data quality.

Optimizing SQL queries is crucial for performance efficiency. I often use indexing, query restructuring, and monitoring tools to analyze and optimize query performance. Discussing specific queries you’ve optimized and the resulting performance improvements will strengthen your answer.

In your response, focus on your specific experiences utilizing AWS services like EC2, Kinesis, or S3 for data storage and processing. Provide details about deployments you managed and any challenges you overcame. Be sure to highlight the scalability and cost-effectiveness that cloud solutions bring to data engineering.

Collaboration with cross-functional teams involves clear communication, regular meetings, and using collaborative tools. Describe an experience where you worked closely with product managers or other teams, emphasizing the strategies you utilized for alignment and shared goals during your projects.

For this question, share a specific technical challenge you faced, the steps you took to analyze and solve it, and the ultimate outcome. Highlighting your analytical skills and perseverance will resonate well with interviewers.

I stay updated with technology trends by following industry blogs, participating in webinars, and attending conferences. Sharing your commitment to continuous learning and an example of how you've applied new knowledge in a project will show your enthusiasm for the field.

When ensuring data privacy, I implement strong encryption and access control measures. During your interview, discuss specific policies you’ve put into place or technologies you’ve utilized to maintain privacy and security, emphasizing real-world applications.

In your answer, convey your excitement about Nexxen’s innovative approach to data and advertising. Explain how your values align with the company’s focus on customer-centric solutions and how you can contribute to their mission through your expertise in data engineering.