Senior Data Engineer

As a Senior Data Engineer at Quorum, you will have pivotal responsibilities, including architecting and implementing scalable data pipelines for Quorum Copilot, their Generative AI tool. Your role involves real-time data processing, designing robust data cleansing and transformation pipelines, and ensuring optimal performance and cost-efficiency during cloud-based deployments predominantly in AWS.

To qualify for the Senior Data Engineer role at Quorum, candidates must have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Additionally, at least 5 years of experience in data engineering is required, along with expertise in building data pipelines, familiarity with AWS services, proficiency in big data tools, and a solid understanding of SQL and NoSQL databases.

Quorum is dedicated to the professional advancements of its employees. For a Senior Data Engineer, this includes opportunities for continuous learning through monthly professional development stipends, access to mental health resources, and participation in a culture that encourages sharing new ideas and technologies, ensuring your skills remain at the forefront of the industry.

The work environment at Quorum is remote-first, providing flexibility to choose between working from home or the office in Belo Horizonte, Brazil. The company fosters a collaborative culture, where team members support each other's growth and well-being while working on challenging and meaningful projects.

In the Senior Data Engineer role at Quorum, you'll work with a variety of tools and technologies, including AWS cloud services like EC2 and Redshift, big data frameworks such as Hadoop and Spark, and machine learning frameworks such as TensorFlow and PyTorch. Familiarity with advanced Retrieval-Augmented Generation systems and vector databases is also advantageous.

When answering this question, provide specific examples of projects where you successfully built and optimized scalable data pipelines. Highlight the technologies used, the challenges faced, and how you addressed them, showcasing your problem-solving skills and technical expertise.

Discuss your hands-on experience deploying applications and data solutions in AWS. Focus on specific services you've used, such as EC2 or S3, and any performance optimizations you've successfully implemented to enhance the efficiency and security of those deployments.

Explain your methodology for data cleansing and transformation, including the tools you commonly use. Share an example where you streamlined these processes to improve the quality of data and contributed to downstream analytics.

Mention tools like Airflow, Luigi, or Azkaban, and discuss their strengths in automation and task scheduling. Provide insights into how you've leveraged these tools in your previous projects to enhance workflow efficiency.

Give a detailed account of a specific challenge, such as data inconsistency or performance issues. Explain the steps you took to identify the root cause, the solutions you implemented, and the positive outcomes from your actions.

Share your favorite resources for learning, such as blogs, podcasts, or online courses. Also, mention any communities or forums you actively participate in to keep abreast of industry developments and best practices.

Talk about your proficiency with SQL and NoSQL databases, providing specific use cases where you've utilized each. Highlight your understanding of when to opt for one over the other depending on project needs and data structures.

Explain your approach to teamwork, emphasizing clear communication and collaborative problem-solving. Provide examples of successful collaborations that resulted in positive project outcomes, showcasing your role in those efforts.

Discuss key factors such as scalability, data accessibility, performance, and security. Provide examples of how you’ve weighed these considerations in past projects to create effective data architectures.

Express your enthusiasm for Quorum's mission and the impact of its products, such as Quorum Copilot. Highlight your passion for data engineering and how your goals align with Quorum's focus on innovative solutions in public affairs.