Data Engineer - job 1 of 3

As a Senior Data Engineer at Capco, you'll engage in a variety of responsibilities including designing, implementing, and optimizing data pipelines using PySpark and Scala. Your focus will be on delivering high-quality data solutions for our prestigious clients in the financial sector. You'll also play a crucial role in debugging, data analysis, and collaborating with teams to ensure our projects align with industry standards and client expectations.

To qualify for the Senior Data Engineer position at Capco, you should possess at least 7 years of experience in data engineering, particularly with a strong background in PySpark and Scala. Proficiency in debugging, data analysis, and understanding of the Big Data Application Life Cycle are essential. Experience with GIT HUB, control tools, and CI/CD tools like Jenkins is a plus. Good communication skills and a positive attitude are also key attributes for success in this role.

A Senior Data Engineer at Capco should be well-versed in tools and technologies such as PySpark, Scala, and Spark for data processing. Familiarity with source control tools like GIT HUB and CI/CD tools, including Jenkins and Ansible, is also important. Expertise in frameworks like Control-M and Service Now for incident management will enhance your capability to succeed in this role.

Capco prides itself on a diverse and inclusive work culture that nurtures innovation and creativity. As a Senior Data Engineer, you will thrive in a flat organizational structure that encourages direct collaboration with senior partners and client-facing projects. This environment not only supports personal growth and continuous learning but also empowers you to take ownership of your career trajectory.

As a Senior Data Engineer at Capco, you will engage in groundbreaking projects that aim to transform the financial services industry. You'll work alongside some of the largest international and local banks, insurance companies, and payment service providers to solve complex data challenges. The impactful work you do will contribute to advancing financial technology and improving service delivery for our clients.

When answering this question, highlight specific projects where you utilized PySpark for big data processing, detailing the challenges faced and how you overcame them. Discuss your approach to optimizing data pipelines and any innovative solutions you introduced.

In your response, outline your systematic approach to debugging, including how you identify, isolate, and resolve issues. Mention any specific tools or techniques you've employed to streamline this process, emphasizing your problem-solving skills.

Discuss your knowledge of the Big Data Application Life Cycle, breaking down each phase, from data collection to storage, processing, and analysis. Highlight your hands-on experience in each phase and how it relates to your role as a Senior Data Engineer.

Provide an example where collaboration was essential to the project's success. Discuss your role, how you facilitated communication, and the impact this had on the final deliverable, stressing teamwork and interpersonal skills.

Explain your experience with tools like GIT HUB, detailing how you manage code versions and collaborate with others. Share specific scenarios where these tools improved workflow efficiency or enhanced team collaboration.

Share a detailed example of a complex data issue you encountered, articulating your thought process, the strategies you employed to solve it, and how your solution positively influenced the project's outcome.

Discuss your strategies for maintaining data integrity, including validation techniques and monitoring processes. Explain how you have implemented these practices in previous projects to ensure high-quality outcomes.

Mention your commitment to continuous learning through online courses, workshops, industry publications, or community engagement. Provide specific examples of how staying informed has enabled you to apply new technologies or methodologies in your work.

Describe your familiarity with CI/CD practices, particularly tools like Jenkins. Provide insights into how you have implemented or contributed to CI/CD pipelines in your previous positions, emphasizing the benefits to your team's deployment process.

When responding, reflect on Capco's culture, projects, and values that resonate with you. Be genuine about your enthusiasm for being part of a transformative team and how your skills align with the company's mission.