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 Data Engineer:Responsibilities:<ul><li>Build and maintain data pipelines and ETL/ELT processes on Google Cloud Platform (GCP) to ensure reliable and efficient data flow.</li><li>Collaborate with Senior Data Engineers and cross-functional teams (Data Scientists, Product Managers) to gather requirements and implement solutions.</li><li>Implement data models, schemas, and transformations to support analytics and reporting.</li><li>Monitor, troubleshoot, and optimize pipelines to ensure data quality, integrity, and performance.</li><li>Ensure compliance with data governance, security, and regulatory standards within the GCP environment.</li><li>Document data workflows, tools, and best practices to support scalability and operational excellence.</li><li>Stay up to date on GCP services and trends to continuously improve infrastructure capabilities.</li></ul>Requirements:<ul><li>Bachelor’s degree in Computer Science, IT, Data Engineering, or a related field.</li><li>Minimum 3 years of experience in data engineering, including building pipelines on Google Cloud Platform (GCP).</li><li>Proficiency with GCP tools, such as BigQuery, Dataflow, Pub/Sub, or Cloud Composer.</li><li>Strong skills in Python or Java, and advanced SQL for data processing.</li><li>Experience in data modeling, schema design, and data warehousing.</li><li>Understanding of data governance and cloud security practices.</li><li>Familiarity with Git and basic CI/CD practices is a plus.</li><li>Strong problem-solving and communication skills for technical collaboration.</li></ul>Languages<ul><li>Advanced Oral English.</li><li>Native Spanish.</li></ul>Note:<ul><li>Hybrid 3 days at Scotiabank locations in Mexico City / CDMX</li></ul>If you meet these qualifications and are pursuing new challenges, Start your application to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: <a href="https://www.sequoia-connect.com/careers/" target="_blank" rel="noopener noreferrer">https://www.sequoia-connect.com/careers/</a>. Requirements Requirements:<ul><li>Bachelor’s degree in Computer Science, IT, Data Engineering, or a related field.</li><li>Minimum 3 years of experience in data engineering, including building pipelines on Google Cloud Platform (GCP).</li><li>Proficiency with GCP tools, such as BigQuery, Dataflow, Pub/Sub, or Cloud Composer.</li><li>Strong skills in Python or Java, and advanced SQL for data processing.</li><li>Experience in data modeling, schema design, and data warehousing.</li><li>Understanding of data governance and cloud security practices.</li><li>Familiarity with Git and basic CI/CD practices is a plus.</li><li>Strong problem-solving and communication skills for technical collaboration.</li></ul>

Data Engineer

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