Analytics Engineer - Google Cloud Platform (GCP)

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

Overview

The Analytics Engineer at Xpertise Recruitment is primarily responsible for designing, implementing, and maintaining data pipelines and analytic solutions on the Google Cloud Platform (GCP). This role involves working closely with data scientists, analysts, and business stakeholders to ensure robust data infrastructure that supports strategic decision-making processes. The ideal candidate will leverage their technical expertise to transform raw data into meaningful insights while maintaining a focus on data quality and reliability.

Job Responsibilities

• Design, develop, and optimize data pipelines on Google Cloud Platform (GCP).
• Collaborate with data scientists and business users to understand data needs and deliver analytical solutions.
• Ensure the integrity and quality of data across various datasets.
• Implement and maintain ETL (Extract, Transform, Load) processes.
• Create and manage data models to support analytics initiatives.
• Conduct data analysis to identify trends and opportunities for business improvements.
• Document data architecture and data flows for stakeholders.
• Utilize monitoring and logging to ensure system performance and reliability.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as an Analytics Engineer or in a similar data-focused role.
• Strong understanding of Google Cloud Platform services, particularly BigQuery and Dataflow.
• Proficiency in SQL and experience with programming languages such as Python or Java.
• Experience with data visualization tools (e.g., Tableau, Looker) is preferred.
• Familiarity with data warehousing concepts and architecture.
• Exceptional analytical and problem-solving skills.
• Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.

Technologies & Tools

The role of Analytics Engineer will primarily utilize Google Cloud Platform technologies such as BigQuery, Dataflow, and Cloud Storage for data processing and storage. Additionally, the candidate will employ SQL for data querying and may use programming languages such as Python for scripting and automation tasks. Familiarity with data visualization tools like Tableau or Looker will further enhance analytical and reporting capabilities.

Ideal Candidates

The ideal candidates for this position are detail-oriented, possess a strong analytical mindset, and have a passion for working with data to drive business decisions. They should be team players who thrive in collaborative environments, demonstrating effective communication skills to engage both technical and non-technical stakeholders. Additionally, they should be adaptable, eager to stay updated on the latest trends in data analytics and cloud technologies, and contribute to continuous improvement processes within the organization.