Senior Reporting Engineer

As a Senior Reporting Engineer at dLocal, your responsibilities include contributing to all phases of the analytical application development life cycle. You will be designing and developing high-volume applications tailored for our data analytics systems, writing efficient and testable code, ensuring compliance with design specifications, and exploring new technologies for continuous improvement.

To qualify for the Senior Reporting Engineer position at dLocal, you should have strong experience with Python and Java or Golang, development of REST API applications, and a solid understanding of SQL and database management systems. Experience with distributed processing (like Apache Spark) and an AWS environment is also highly desirable.

Yes, while not mandatory, experience with Agile/Kanban methodologies is a valuable asset for the Senior Reporting Engineer role at dLocal. Familiarity with tools like JIRA can enhance your collaboration and efficiency in delivering projects on time.

At dLocal, we’re committed to your professional development. As a Senior Reporting Engineer, you will have access to continuous learning opportunities, engaging projects, and the chance to collaborate with a diverse team of experts. Our culture promotes innovation and encourages you to explore new technologies and methodologies.

As a Senior Reporting Engineer at dLocal, you will work in a flexible, remote-first environment. Our company values a dynamic culture that promotes collaboration among over 900 teammates from diverse backgrounds, ensuring a vibrant and inclusive atmosphere to foster your creativity and productivity.

Interviewers are keen to understand your proficiency with programming languages, so prepare to discuss specific projects where you have applied these languages. Be ready to highlight how your coding skills contributed to successful outcomes, such as improving performance or handling high-volume data.

Data modeling is foundational in application development as it provides a visual representation of data sources, structures, and relationships. Be prepared to discuss how you've implemented different schemas such as Star schema or Snowflake and how it impacted your projects positively.

When answering this question, choose a specific project that illustrates your problem-solving skills. Discuss the challenges faced and detail the steps you took to address them, emphasizing teamwork, technical expertise, or innovative solutions that led to success.

In your response, mention practices such as code reviews, writing unit tests, and adhering to coding standards. Highlight any tools or methodologies you use to maintain clean code and ensure efficient application performance.

Discuss your experience with various AWS services relevant to the role, such as S3, Redshift, and Lambda. Provide examples of how you've used these services to develop scalable applications and enhance data processing capabilities.

Share your strategies for time management and prioritization when working under pressure, such as breaking tasks into manageable parts, setting milestones, and using frameworks like Agile for efficient workflow.

Mention specific debugging tools and techniques you utilize to identify issues in your code, such as using logging, unit tests, and working collaboratively with your team to ensure quality and resolve problems quickly.

Provide details about any experience you have with technologies such as Apache Spark or Hadoop. Explain how you applied these in past projects to handle large data sets or enhance data processing workloads efficiently.

Explain your understanding of NoSQL databases and give examples of projects where you've utilized them. Discuss the scenarios where NoSQL was beneficial over traditional relational databases—such as flexibility, scalability, and handling unstructured data.

Discuss your commitment to continuous learning, mentioning specific resources such as online courses, industry blogs, and conferences you attend to stay current with technology trends and best practices in software engineering.