Sr. Google Cloud Platform Cloud Data Engineer

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Written by AI from the job title and company, not by Dice, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Senior Google Cloud Platform (GCP) Cloud Data Engineer at Dice, you will play a pivotal role in designing, implementing, and maintaining robust data solutions that leverage Google Cloud’s advanced data services. Your main responsibility will entail collaborating with cross-functional teams to optimize data pipelines for performance and scalability, ensuring the seamless integration of applications and data across the enterprise. You will also be tasked with adopting best practices in data management and governance while driving innovation in data architecture to support analytical operations and business intelligence initiatives.

Job Responsibilities

• Design, build, and maintain scalable and efficient ETL data pipelines on Google Cloud Platform.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical specifications.
• Implement data quality and validation frameworks to ensure the integrity and accuracy of data across systems.
• Optimize existing data workflows to improve performance and reduce costs in processing large datasets.
• Participate in architectural discussions, proposing solutions that align with Google Cloud best practices.
• Monitor data systems for performance and troubleshoot issues as they arise.
• Document processes, workflows, and data models for stakeholders and future reference.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering, with a focus on cloud technologies.
• Proven experience with Google Cloud Platform services, including BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Expertise in SQL and familiarity with various database management systems (RDBMS and NoSQL).
• Experience with data warehousing concepts and technologies.
• Ability to work in a fast-paced environment and manage multiple priorities.

Technologies & Tools

The ideal candidate will be expected to utilize a variety of technologies and tools, including but not limited to Google Cloud Platform services (BigQuery, Dataflow, Cloud Storage), workflow orchestration tools like Apache Airflow, and data transformation tools such as dbt. Experience with containerization technologies like Docker and orchestration platforms like Kubernetes will also be advantageous.

Ideal Candidates

Ideal candidates for the Sr. Google Cloud Platform Cloud Data Engineer position will demonstrate a strong analytical mindset coupled with creative problem-solving abilities. They should possess excellent communication skills to articulate technical concepts to non-technical teams effectively. Being detail-oriented and proactive, the candidate should also exhibit a passion for exploring emerging technologies and a commitment to leveraging data to drive business outcomes. An effective collaborator who thrives in a team-oriented atmosphere, while being self-motivated and results-driven, will be highly valued in this role.