Senior Data Operations Engineer

As a Senior Data Operations Engineer at Intellihub, you will be responsible for designing, developing, and operationalizing data pipelines and integration frameworks. This involves enhancing ETL design patterns, improving data engineering processes, and maintaining high-quality solutions using CI/CD practices. You'll also support platform engineering and automate cloud infrastructure management, ensuring data quality and reliability.

To qualify for the Senior Data Operations Engineer role at Intellihub, candidates should possess a tertiary qualification in Information Technology or a related field. Experience with cloud platforms like AWS, strong problem-solving skills, and expertise in SQL and Python are also essential. Familiarity with Data Warehousing, Data Lakes, and agile methodologies will give applicants a competitive edge.

In the Senior Data Operations Engineer position at Intellihub, you will have the opportunity to mentor junior engineers, helping them develop their skills and knowledge in data operations. Your leadership and guidance will foster a collaborative learning environment that promotes innovation and continuous improvement within the team.

The Senior Data Operations Engineer at Intellihub will work with exciting technology trends such as advanced analytics and Generative AI (GenAI). Your role will involve implementing and optimizing data pipelines to leverage these trends, ensuring Intellihub remains at the forefront of data innovation in the energy sector.

Intellihub fosters a dynamic and inclusive work culture, valuing collaboration and diversity. As a Senior Data Operations Engineer, you will be part of a supportive environment that prioritizes work-life balance, professional development, and employee well-being while offering competitive salary and benefits packages.

In answering this question, highlight specific ETL design patterns you have worked on, the challenges faced, and how you innovated to improve efficiency. Showcase how your experience aligns with the practices at Intellihub, emphasizing your skills in data operations.

Discuss the tools that you have effectively used for data ingestion, such as AWS services or Databricks, and explain why you favor these choices. Relate your technical skills back to the expectations within the Senior Data Operations Engineer role at Intellihub.

Talk about the methodologies and metrics you utilize to maintain data quality and system reliability, referencing ITIL processes mentioned in the job description. Providing examples of past experiences can supplement your response.

Share a specific challenge regarding cloud infrastructure management where you applied Infrastructure as Code (IaC) principles. Discuss the solutions implemented and how they led to improvements, connecting your experience to the requirements of the Senior Data Operations Engineer role.

Explain your mentoring philosophy, emphasizing your commitment to fostering a positive learning environment. You can give examples of past mentoring experiences and how they led to improved performance or innovation within your teams.

Share the details of a specific data engineering project, focusing on your role, the technologies used, the outcome, and any lessons learned. Ensure this ties into the key responsibilities of the Senior Data Operations Engineer at Intellihub.

Demonstrate your knowledge of Intellihub’s mission and its commitment to simplifying energy transition. Discuss how your skills can contribute to this mission and enhance the innovative culture within the organization.

Discuss your strategies for keeping abreast of industry trends, such as following key publications, attending webinars, or participating in professional networks. Explain how this ongoing learning enhances your contributions as a Senior Data Operations Engineer.

Outline your experience with various monitoring and logging tools, describing how these solutions have helped you maintain data integrity and optimize performance. Relate this back to the expectations for the Senior Data Operations Engineer role.

Talk about your experience with Agile methodologies, focusing on how you’ve implemented practices such as backlog grooming and program increment planning. Describe how these practices help in the development of efficient data solutions in a collaborative environment.