Cloud Data Engineer-GCP

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

Position Overview

BSL Consulting is seeking a highly skilled Cloud Data Engineer with expertise in Google Cloud Platform (GCP) to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, ensuring data integrity and accessibility, and collaborating with cross-functional teams to deliver high-quality data solutions. This role requires a strong understanding of cloud infrastructure, data architecture, and various data processing technologies, with a focus on optimizing ETL processes and enhancing overall data performance.

Job Responsibilities

• Design and implement efficient cloud-based data pipelines and ETL processes on GCP.
• Collaborate with data architects, data scientists, and other stakeholders to understand data requirements and deliver actionable insights.
• Ensure data integrity and quality through appropriate testing and validation techniques.
• Monitor and analyze data processing performance and implement optimizations where necessary.
• Manage and maintain GCP services related to data storage, processing, and visualization.
• Document processes, workflows, and data models to ensure maintainability and knowledge sharing.
• Stay updated with the latest trends and technologies in cloud data engineering and recommend improvements.

Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in cloud data engineering, specifically with GCP.
• Strong knowledge of data warehousing solutions and ETL/ELT techniques.
• Proficient in SQL and experience with big data technologies such as BigQuery.
• Experience with programming languages such as Python, Java or Scala.
• Familiarity with data modeling and data architecture principles.
• Strong analytical and problem-solving skills, with attention to detail.

Technologies & Tools

The Cloud Data Engineer-GCP role primarily involves utilizing a range of technologies and tools including Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Cloud Functions, and Dataflow. Additional tools that may be utilized in this position include Apache Beam for stream and batch data processing, as well as data visualization tools like Google Data Studio for reporting and insights.

Ideal Candidates

The ideal candidate for this position will possess a proactive and innovative mindset, with a strong ability to work both independently and collaboratively within a team. Excellent communication skills are vital, as they will be required to effectively convey complex data concepts to various stakeholders. A passion for solving complex data challenges and a commitment to continuous learning and improvement are also essential for success in this role.