Google Cloud Platform Sr. Data Engineer

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

Job Overview

The Google Cloud Platform Senior Data Engineer at Apex Systems will play a pivotal role in the design, implementation, and management of large-scale data processing systems. This position requires a blend of technical expertise, strategic thought leadership, and the ability to collaborate effectively with cross-functional teams. The Senior Data Engineer will leverage Google Cloud technologies to build robust data pipelines, ensure data availability, and optimize data flow, all while adhering to best practices in data governance and security.

Job Responsibilities

• Design and implement scalable data pipelines using Google Cloud Platform technologies.
• Collaborate with data scientists and analysts to define data requirements and deliver analytical solutions.
• Manage cloud data storage and optimize queries for performance and cost-effectiveness.
• Establish best practices for data governance, security, and compliance.
• Troubleshoot and optimize existing ETL processes to improve efficiency.
• Document data architecture and workflows, ensuring transparent communication across teams.
• Provide mentorship and training to junior data engineers and team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• A minimum of 5 years of experience in data engineering or related roles.
• Extensive knowledge of Google Cloud Platform services, especially BigQuery, Dataflow, and Cloud Storage.
• Proficiency in programming languages such as Python, SQL, and Java.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of data architecture principles and best practices.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Technologies & Tools

In this role, the Senior Data Engineer will utilize a variety of technologies and tools to effectively manage and analyze data. Key tools include Google Cloud Platform services such as BigQuery for data analysis, Dataflow for stream and batch data processing, Cloud SQL for managed relational databases, and Cloud Pub/Sub for messaging and event ingestion. Familiarity with DevOps practices and tools such as Docker, Kubernetes, and CI/CD pipelines is also beneficial.

Ideal Candidates

The ideal candidate for the Google Cloud Platform Senior Data Engineer position will possess a strong blend of technical acumen, analytical thinking, and interpersonal skills. They should be proactive, detail-oriented, and capable of working both independently and within a collaborative team environment. A passion for data-driven decision-making, along with a commitment to continuous learning and adaptability in a rapidly evolving digital landscape, will greatly benefit those in this role.