GCP Data Engineer - R01541146/R01541147

1 Day ago • All levels

About the job

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About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Role: GCP Data Engineer - R01541146

Functional Area: Data And AI

Employment Type: Full Time / Permanent

Location: México

Job Summary:

With 6 years of experience in software design and development, this role focuses on creating and maintaining large-scale data architectures and analytics platforms. The ideal candidate will have extensive experience in data engineering, particularly within the Google Cloud Platform (GCP) ecosystem and be capable of leading projects from conceptualization to operationalization.

Key Responsibilities:

Design & Development: Lead the design and development of scalable software solutions, with a strong focus on data engineering and cloud-based technologies.
Data Architecture: Architect and implement data warehouses, data lakes, and analytics platforms that can handle very large datasets efficiently.
GCP Cloud Implementation: Apply hands-on expertise with GCP’s data tools including BigQuery, Pub/Sub, DataFlow/Apache Beam, Airflow/Composer, and Cloud Storage.
Technology Proficiency: Utilize advanced skills in GBQ Query, Python, Apache Airflow, and SQL (with a preference for BigQuery).
Agile Methodologies: Contribute to projects in an agile development environment, ensuring timely delivery and high-quality output.
Cross-Cloud Expertise: Leverage knowledge of cloud functions and comparable skills in AWS and other cloud-based Big Data Engineering environments.
Communication: Clearly present ideas, concepts, and technical solutions to both technical and non-technical stakeholders.

Required Qualifications

Experience: 6 years in software design and development, with 5 years preferred in data engineering, and 3 years in GCP cloud data implementation.
Technical Skills: Strong experience with SQL and Python, particularly in the context of data engineering and cloud platforms. Additional experience with Apache Airflow and GCP tools is essential.
Educational Background: Bachelor's Degree in Computer Science, Information Technology, or a closely related discipline.
Communication Skills: Excellent verbal and written communication abilities, capable of conveying complex ideas clearly and effectively.
Agile Development: Familiarity with agile development methodologies is highly desirable.

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