Senior Software Engineer - Big Data

As a Senior Software Engineer - Big Data at Nielsen, you'll be responsible for authoring clean and maintainable big data jobs on distributed compute platforms. You'll drive automation processes, perform various tests, and provide constructive feedback on architecture and design documents. Your role will also include working in an Agile environment, ensuring software excellence while focusing on the innovative use of open-source technologies.

To be considered for the Senior Software Engineer - Big Data role at Nielsen, candidates should possess a bachelor’s degree in computer science, engineering, or a related field, along with a minimum of 5 years of hands-on software development experience. Expert knowledge in AWS, strong cloud architecture skills, proficiency in programming languages such as Scala or Python, and familiarity with big data frameworks like Spark or Hadoop are essential.

Candidates applying for the Senior Software Engineer - Big Data role at Nielsen should be well-versed in technologies such as AWS for cloud implementations, Docker for containerization, and Kubernetes or Swarm for container orchestration. A solid understanding of workflow orchestration tools like Airflow and Oozie, as well as big data frameworks, including Spark, Hive, Flink, and Map-Reduce, is also required.

At Nielsen, the work environment for a Senior Software Engineer - Big Data is dynamic and collaborative. You'll be part of a culture that emphasizes Agile methodologies, creativity, and innovation. The role offers a hybrid work option in Mumbai, allowing you the flexibility to contribute remotely and on-site while actively engaging with a talented team focused on excellence in their craft.

Candidates preparing for an interview for the Senior Software Engineer - Big Data position at Nielsen should focus on showcasing their technical skills, particularly their expertise in big data frameworks, proficiency in programming languages, and cloud technologies. It's important to reflect on past projects that demonstrate problem-solving capabilities, teamwork in an Agile setting, and a commitment to best practices in developing scalable software solutions.

When answering, highlight specific projects where you utilized Spark or Hadoop, detailing your role, the challenges you faced, and how you overcame them. Discuss performance tuning, data processing techniques, and the impact your work had on broader business goals.

Share concrete examples of how you've integrated AWS solutions in your projects. Be specific about the AWS services you've used, your role in setting up the architecture, and any lessons learned from deploying applications on the cloud.

Discuss your testing strategy, whether it includes Test-Driven Development (TDD) or Behavior-Driven Development (BDD). Explain how you ensure code quality through automated testing and mention any tools you've used for unit and integration testing.

Provide insights into how you've utilized Docker for containerization and Kubernetes for orchestration. Share scenarios where these tools improved deployment processes or scalability, and discuss any challenges you faced.

Discuss techniques such as using efficient data structures, leveraging in-memory processing, and partitioning strategies you have implemented. Mention specific optimizations you've made and their impact on application performance.

Highlight your role in Agile projects, focusing on how you've contributed to sprint planning, daily stand-ups, and retrospectives. Discuss how you adapt to changes and your communication style when collaborating with team members.

Share your approach to receiving feedback, emphasizing your openness to learning and collaboration. Provide an example of how feedback improved your code or process, and discuss how you ensure clarity in code reviews.

Explain how you foster collaboration with cross-functional teams, how you manage conflicting ideas, and the ways you encourage knowledge sharing to improve project outcomes and individual skills.

Be specific about the challenge you faced, the approach you took to find a solution, and the outcome. Highlight skills such as analytical thinking, creativity, or teamwork that were critical in resolving the issue.

Discuss your alignment with Nielsen's mission and values. Express enthusiasm for contributing to a team that values innovative solutions in media analytics and how your experiences make you a strong fit for their goals.