GCP Lead with Data integration

As a GCP Lead with Data Integration Experience at Derex Technologies, you'll be responsible for designing and developing high-performance data pipelines, ensuring data quality, and managing a team of data engineers. You'll play a crucial role in data ingestion across various systems, support reporting models, and implement CI/CD practices to maintain an efficient workflow.

To apply for the GCP Lead with Data Integration Experience position at Derex Technologies, candidates should have at least 12 years of experience in the field, including 5 years in a leadership role. Proficiency in GCP tools such as Big Query and Dataflow, as well as hands-on coding skills in Python, PySpark, and SQL, are essential qualifications.

Key technical skills for the GCP Lead role at Derex Technologies include expertise in the GCP cloud platform (GCS, Big Query, Streaming), proficiency in Python, PYSpark, and Kafka, as well as experience with data warehouse and data lake concepts. Familiarity with CI/CD pipelines and database schema design is also important.

Collaboration is a vital aspect of the GCP Lead position at Derex Technologies. You will work closely with cross-functional teams to develop and troubleshoot data solutions, ensuring that all stakeholders are aligned and that projects are delivered successfully. Good communication skills are essential to foster teamwork.

The GCP Lead with Data Integration Experience position at Derex Technologies is primarily located in Austin, TX, or San Jose, CA, with potential remote work options to give you flexibility while you contribute to our innovative projects.

When answering this question, detail the specific projects where you've built data integration pipelines, the technologies used, and any challenges you faced. Highlight your understanding of CI/CD practices and how they were applied in your previous roles.

Discuss your processes for data quality assurance, including validation checks, transformation rules, and monitoring mechanisms. Provide examples of how you have implemented these practices in prior roles to maintain high data standards.

Share your leadership approach, whether it's hands-on or more delegative, and provide specific examples of how you've mentored team members and encouraged collaboration to achieve project goals.

Focus on your working knowledge of the GCP platform. Discuss specific projects where you've utilized Big Query for data warehousing or Dataflow for real-time data processing, emphasizing outcomes achieved through your technical contributions.

Outline the methods you use to stay current, such as attending conferences, participating in online courses, or subscribing to industry publications. Mention any recent technologies or frameworks you've integrated into your work.

Provide a specific instance where you faced difficulties in data ingestion, explaining the context, what actions you took to troubleshoot, and the successful outcome that followed your intervention.

Share your strategies for performance tuning, focusing on key metrics you monitor, tools you use to analyze performance, and any adjustments you've made to optimize application responsiveness.

Describe an instance where you identified a data issue, the steps you took to analyze the problem, and the solutions you implemented to resolve it. Emphasize your problem-solving skills and the importance of communication during the resolution process.

Discuss the frameworks you're familiar with, such as Agile or Scrum, emphasizing your experience applying these methodologies to improve team collaboration and the efficiency of software delivery.

Discuss strategies you've employed to manage production stability without hindering the delivery of new features. Include examples of prioritization and risk assessment techniques you've used in past projects.