Cloud Data Engineer (Mid-Level) - (25031301)

To qualify as a Cloud Data Engineer at Third Eye Software, candidates should have a degree in Computer Science, Data Science, or a related field, along with at least 3 years of experience in data engineering, preferably within a large enterprise environment. Proficiency in SQL, particularly advanced functions, is essential. Experience with Google Cloud Platform (GCP) and ETL/ELT processes is highly preferred, as well as strong skills in Python and familiarity with Jenkins.

As a Cloud Data Engineer at Third Eye Software, your main responsibilities will include ingesting and processing large datasets, building and optimizing data pipelines, and ensuring efficient data flow between systems. You will also collaborate with cross-functional teams, including developers and business stakeholders, to help streamline operations and enhance data management.

You'll enjoy a fully remote work environment as a Cloud Data Engineer at Third Eye Software. Our culture prioritizes flexibility while fostering collaboration and open communication among team members. We value individuality and strive to support and empower our employees in their careers.

Advancing your career as a Cloud Data Engineer at Third Eye Software involves actively engaging in professional development and training opportunities, which we offer to all our staff. Excelling in your role, taking initiative, and showcasing your problem-solving skills can lead to future growth and the possibility of a permanent position based on business needs.

Absolutely! Third Eye Software offers employer-provided equipment for our remote Cloud Data Engineers, ensuring you have the necessary tools to perform your job effectively and efficiently from your home office.

In answering this question, highlight specific projects where you've built data pipelines. Discuss the tools you used, such as GCP, Python, and ETL processes. Mention any challenges you faced during the development process and how you overcame them to ensure efficient data flow.

Talk about advanced SQL functions like ranking functions, aggregation, and joins. Provide examples of how you used these functions in real projects to demonstrate your depth of knowledge and problem-solving skills in data manipulation.

Explain your methods for validating data before, during, and after the ETL process. Discuss techniques like data profiling and monitoring to ensure accurate and reliable data movement across systems.

Be specific about the GCP services you have used, such as BigQuery, Cloud Pub/Sub, and Dataflow. Describe how you've utilized these services to optimize data management and processing tasks in your previous roles.

Share examples of past collaborations and the importance of clear communication. Emphasize listening to team members from different backgrounds and finding common ground to achieve objectives collectively.

Describe a step-by-step approach to identifying problems, using logging and monitoring tools, and how you communicate findings with team members. Highlight a specific instance where you successfully diagnosed and resolved an issue.

Provide an example of a situation where you anticipated issues before they arose and took initiative to create solutions. Discuss the positive outcomes that resulted from your proactive approach.

Mention other cloud platforms you may have worked with, like AWS or Azure, focusing on relevant services. Relate this experience to how it contributes to your comprehensive understanding of cloud-based solutions.

If applicable, share your experiences with Clickstream Data processing, mentioning any specific tools or techniques you've used, particularly if you have experience with Adobe Analytics or similar platforms.

In your response, connect your professional values with Third Eye Software's mission and culture. Express enthusiasm for the opportunity to contribute to a collaborative environment and how it aligns with your career goals.