GCP Data Engineer

Description

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights.

We are currently searching for a Senior GCP Data Engineer (Data Governance):

Responsibilities

• Design and implement data governance frameworks across cloud-based data platforms.
• Define and enforce data quality rules, including automated validations and monitoring.
• Develop and maintain data architectures such as Data Lakes, Lakehouse, and modern Data Warehouses.
• Manage metadata, technical lineage, and data catalogs to ensure transparency and traceability.
• Implement schema management and data security controls, including data classification and PII handling.
• Build and optimize data pipelines and process automation to support scalable analytics solutions.

Requirements

• Strong experience in data governance within enterprise-scale environments.
• Hands-on experience with GCP data services and cloud-based data architectures.
• Advanced SQL skills for data analysis, validation, and transformation.
• Experience with data quality, lineage, and metadata tools (data catalogs, governance platforms).
• Solid understanding of data security and compliance concepts, including PII management.
• Advanced English level (spoken and written).

Desired

• Experience working in hybrid enterprise environments.
• Familiarity with automation and orchestration of data processes.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Hybrid, Mexico City.

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Requirements

• Strong experience in data governance within enterprise-scale environments.
• Hands-on experience with GCP data services and cloud-based data architectures.
• Advanced SQL skills for data analysis, validation, and transformation.
• Experience with data quality, lineage, and metadata tools (data catalogs, governance platforms).
• Solid understanding of data security and compliance concepts, including PII management.
• Advanced English level (spoken and written).