Data Engineer - Senior Consultant

As a Senior Data Engineer - Consultant at Provectus, your main responsibilities include leading the technical implementation of enterprise-scale data solutions, driving architecture decisions, establishing technical standards, and mentoring junior engineers. You will be required to manage complex technical workstreams while building strong client relationships as their trusted technical advisor.

To qualify for the Senior Data Engineer - Consultant position at Provectus, candidates should have 5-8 years of relevant data engineering experience with a strong focus on AWS. A Bachelor's degree in Computer Science, Engineering, or a related field is necessary, while a Master's degree is preferable. Proficiency in programming languages such as Python, Java, or Scala is also required.

Essential skills for the Senior Data Engineer - Consultant role at Provectus include strong technical leadership capabilities, in-depth knowledge of modern data engineering principles, and expertise in big data technologies. Familiarity with cloud platforms and a solid understanding of data governance frameworks will also set you apart.

Yes! Provectus is committed to your professional development. As a Senior Data Engineer - Consultant, you will enjoy support for certifications and training initiatives, along with exposure to diverse technical challenges that enhance your skills in various areas of AI and cloud technologies.

At Provectus, we offer a flexible, remote-first workplace, allowing you to balance your work and personal life. This environment fosters collaboration and innovation while giving you the freedom to work from anywhere.

When answering this question, highlight specific projects where you utilized AWS services. Discuss the AWS tools you used, the architecture you designed, and the outcomes of your implementations. Provide metrics if possible to showcase the impact of your work.

Discuss your understanding of data modeling principles and your approach to creating scalable architectures. You might want to mention specific methodologies, tools, or frameworks you've used and provide examples of past projects to illustrate your process.

Share specific instances where you guided and mentored junior engineers. Emphasize the challenges you helped them navigate, the skills you taught, and how you fostered their growth within the team.

Choose a relevant example that showcases your problem-solving skills. Explain the issue you encountered, the steps you took to resolve it, and the successful outcome of your efforts.

Talk about your strategies for implementing data governance frameworks, including how you ensure data quality, compliance, and security throughout the data lifecycle in your projects.

Identify the languages you excel in, like Python, Java, or Scala, and explain why they are effective for data engineering tasks.Provide concrete examples of how you've applied these languages in your projects.

Highlight a specific project where you worked directly with clients. Discuss your role, how you managed expectations, facilitated communication, and the impact of your collaboration on the project's success.

Discuss the resources you use to keep your skills sharp, such as online courses, webinars, or industry publications. Mention any networking events or communities you participate in to stay informed.

Share your experience with agile practices, such as Scrum or Kanban, and provide an example of how you applied one of these methodologies in a past project to enhance collaboration and efficiency.

Express your enthusiasm for the role and mention specific aspects of Provectus that attract you, such as the company's innovative approach to AI solutions, remote-first culture, or professional development opportunities.