Job Description
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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.
Job Overview
The Analytics Engineer in the Google Cloud Platform (GCP) at Xpertise Recruitment will play a pivotal role in transforming complex data into actionable insights. This position involves designing, deploying, and maintaining analytical solutions using GCP technologies to support various business functions. The successful candidate will collaborate closely with data scientists, analysts, and stakeholders to ensure a seamless flow of data and effective management of analytical workloads, all while adhering to best practices in data governance and security.
Job Responsibilities
- Design and implement data pipelines for processing and analyzing large datasets within Google Cloud Platform.
- Create and maintain data models, ensuring data integrity and accessibility for stakeholders.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for analytics solutions.
- Utilize GCP tools such as BigQuery and Dataflow to develop and optimize ETL processes.
- Monitor and troubleshoot analytical systems to ensure high availability and performance.
- Provide training and documentation for end-users and team members on data analytics tools and processes.
- Stay updated with industry best practices and emerging technologies related to cloud analytics and data engineering.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- 3+ years of experience in data analytics, engineering, or a similar role, preferably with a focus on GCP.
- Strong proficiency in SQL and experience with data modeling and database design.
- Familiarity with data visualization tools such as Looker, Tableau, or Power BI.
- Knowledge of programming languages such as Python or Java for data manipulation and analysis.
- Experience with cloud services and technologies, particularly Google Cloud Platform (GCP).
- Understanding of data warehousing concepts and architectural design principles.
Technologies & Tools
The Analytics Engineer position will primarily utilize Google Cloud Platform technologies, including BigQuery for data warehousing, Dataflow for ETL processes, and Cloud Functions for serverless computing. Familiarity with tools such as Google Cloud Storage, Cloud SQL, and Pub/Sub will also be beneficial. In addition, the role may involve using data visualization tools to present findings and support decision-making processes.
Ideal Candidates
The ideal candidate for this position will possess strong analytical and problem-solving abilities with a keen attention to detail. They should be proactive in identifying opportunities for improvement and innovation within data processes. Excellent communication skills are essential, as the role requires effective collaboration with diverse teams and stakeholders. A demonstrated passion for data analytics and a commitment to continuous learning and professional growth will greatly enhance their fit for the team.
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