Senior Go Engineer

As a Senior Go Engineer at Dreamdata, you will be integral to our sources and destinations team. Your primary responsibilities include building and managing our data pipelines, ensuring they pull data efficiently from various sources such as Google Ads and Salesforce. You'll also handle customer authentication within our React application, manage backend APIs using Python and Go, and assist in migrating our systems from Python to Go, focusing on performance and concurrency.

To qualify as a Senior Go Engineer at Dreamdata, you should possess strong experience in Go development and have a background in building data pipelines. Familiarity with frontend technologies, particularly ReactJS, as well as proficiency in SQL and cloud platforms such as BigQuery, Snowflake, or Redshift will be advantageous. Knowledge of REST APIs and containerization tools like Kubernetes is also a plus.

At Dreamdata, the work environment is dynamic and collaborative. As a Senior Go Engineer, you will work within a cross-functional product team, closely collaborating with product managers, UX designers, and data scientists. The culture encourages rapid iteration and close engagement with customers to ensure the product meets real needs and delivers significant business impact.

Dreamdata actively supports professional development for Senior Go Engineers by promoting a culture of learning new technologies. You will have opportunities to explore the latest frameworks and tools, enhancing your skills in a collaborative environment. The team values immediate impact, allowing you to work on projects that not only improve your technical abilities but also contribute to the overall growth of our innovative products.

As a Senior Go Engineer at Dreamdata, you can expect a competitive salary along with equity options. We also provide a welcoming office environment with lunch included. Our location by the waterside near Fisketorvet offers a pleasant workspace, and you'll be joining a startup team comprised of some of Copenhagen’s most seasoned tech professionals.

In answering this question, provide a specific example from your experience where you used Go to develop a data pipeline. Highlight your understanding of concurrency and how it improved the performance of data handling. Discuss any challenges you faced and how you overcame them, showcasing your problem-solving skills.

When discussing code efficiency and maintainability, emphasize practices like code reviews, using clear naming conventions, documentation, and automated testing. Detail how you apply these practices in your day-to-day work and the positive impact they have on the team’s productivity and product quality.

Describe your approach by outlining a systematic process that involves assessing the existing Python system, identifying critical areas for migration, and planning your Go implementation. Mention any particular tools or methodologies you use, as well as how you manage risks during the migration to ensure a smooth transition.

In your response, illustrate your familiarity with data integration frameworks or libraries that facilitate pulling data from various APIs. Discuss how you handle authentication, data mapping, and error handling, ensuring that the integration process is robust and scalable.

Share your background in working with REST APIs, highlighting specific projects where you constructed or consumed APIs. Mention tools or libraries you've used in Go for this purpose and how you ensure security and efficiency when handling API requests.

To answer this, describe your method of prioritizing tasks based on urgency, impact, and team needs. Discuss any tools you use for task management, how you communicate priorities with your team, and any adjustments you might make when unexpected challenges arise.

Use the STAR method (Situation, Task, Action, Result) to structure your response. Focus on a specific but complex problem within a data pipeline project, what actions you took to address it, and the successful outcome, emphasizing your critical thinking and technical acuity.

Engage in this question by expressing your belief in the value of mentorship and peer programming. Discuss how these practices can enhance team collaboration, promote knowledge sharing, and lead to overall improved code quality. Share examples of mentorship experiences you’ve had, either as a mentor or mentee.

Discuss how you utilize online resources, attend conferences, participate in forums, or engage with community projects. Mention specific technologies you've recently explored and how they've influenced your work, exhibiting your commitment to ongoing learning in the field.

To answer this, express your enthusiasm for Dreamdata's mission to revolutionize B2B marketing and how your skills align with their objectives. Discuss your excitement about contributing to an innovative environment that values learning and customer engagement while leveraging cutting-edge technologies.