Associate Staff Engineer, Big Data - job 1 of 2

As an Associate Staff Engineer, Big Data, your primary responsibilities include building integrations with large publishers and networks, utilizing your expertise in technologies like Scala, Hadoop, and Spark. You will also be involved in maintaining cloud systems and ensuring high availability and fault tolerance in production systems.

To be considered for the Associate Staff Engineer, Big Data position, you should have a solid experience in Scala and Java, alongside proficiency in data engineering technologies like Hadoop, Spark, and SQL. Ideal candidates should also be familiar with AWS EMR and have a background in DevOps practices, including CI/CD.

In addition to Scala and Java, having skills in cloud systems maintenance, DevOps practices, and excellent communication abilities will be advantageous for the Associate Staff Engineer, Big Data role. Experience with application monitoring and managing fault-tolerant systems will also elevate your candidacy.

Our work culture is dynamic, collaborative, and non-hierarchical. As an Associate Staff Engineer, Big Data, you will work in a supportive environment that values innovation and communication, allowing you to connect with peers and make an impact across our global network.

The remote work model allows the Associate Staff Engineer, Big Data to work from anywhere in Sri Lanka, promoting a flexible work-life balance. You'll still be part of a vibrant team and have access to all the tools and resources needed to collaborate effectively with colleagues around the world.

When answering this question, be specific about your hands-on experience with Hadoop and Spark. Provide examples of projects where you've utilized these technologies, challenges you faced, and how you overcame them, emphasizing your role in the success of those projects.

Discuss your strategic approach to integration, including understanding the requirements, establishing clear communication with stakeholders, and selecting suitable data engineering tools. Providing a case study from your past experience can showcase your effective problem-solving skills.

Talk about strategies such as implementing redundancy, employing comprehensive monitoring systems, and regular performance evaluations. Highlight any specific technologies or frameworks you’ve used that ensured system reliability in your previous roles.

Share your familiarity with CI/CD processes, how you’ve contributed to deployment pipelines, and your involvement in application monitoring. Providing concrete examples from your experience will help illustrate your proficiency and understanding of DevOps principles.

Emphasize the collaborative nature of technology teams, and how clear communication can prevent misunderstandings, facilitate teamwork and ensure successful project delivery. Sharing an anecdote from your experience where communication made a difference will make your response memorable.

Mention specific resources you rely on, such as industry blogs, webinars, online courses, or community forums. Highlight any recent learning experiences related to Big Data technologies and how you’ve applied new knowledge to your work.

Describe your systematic approach to troubleshooting, such as checking logs, isolating the problem, and testing potential solutions. Share examples of challenges you've faced and how you effectively identified and resolved them.

Use the STAR method to outline your project: Situation, Task, Action, and Result. Focus on your role, the technologies used, and the positive impact the project had on the company or clients.

Discuss your time management skills and prioritization techniques. Provide examples of how you’ve successfully met deadlines in challenging situations, ensuring that quality wasn’t compromised despite the time constraints.

Be prepared to discuss specific tools you are proficient in, such as Apache Spark or SQL. Explain why you favor these tools, their advantages, and how they’ve enabled you to perform efficiently in past roles.