Data Engineer

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:

• Build and maintain data pipelines and ETL/ELT processes on Google Cloud Platform (GCP) to ensure reliable and efficient data flow.
• Collaborate with Senior Data Engineers and cross-functional teams (Data Scientists, Product Managers) to gather requirements and implement solutions.
• Implement data models, schemas, and transformations to support analytics and reporting.
• Monitor, troubleshoot, and optimize pipelines to ensure data quality, integrity, and performance.
• Ensure compliance with data governance, security, and regulatory standards within the GCP environment.
• Document data workflows, tools, and best practices to support scalability and operational excellence.
• Stay up to date on GCP services and trends to continuously improve infrastructure capabilities.

Requirements:

• Bachelor’s degree in Computer Science, IT, Data Engineering, or a related field.
• Minimum 3 years of experience in data engineering, including building pipelines on Google Cloud Platform (GCP).
• Proficiency with GCP tools, such as BigQuery, Dataflow, Pub/Sub, or Cloud Composer.
• Strong skills in Python or Java, and advanced SQL for data processing.
• Experience in data modeling, schema design, and data warehousing.
• Understanding of data governance and cloud security practices.
• Familiarity with Git and basic CI/CD practices is a plus.
• Strong problem-solving and communication skills for technical collaboration.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Hybrid 3 days at Scotiabank locations in Mexico City / CDMX

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: https://www.sequoia-connect.com/careers/.

Requirements

Requirements:

• Bachelor’s degree in Computer Science, IT, Data Engineering, or a related field.
• Minimum 3 years of experience in data engineering, including building pipelines on Google Cloud Platform (GCP).
• Proficiency with GCP tools, such as BigQuery, Dataflow, Pub/Sub, or Cloud Composer.
• Strong skills in Python or Java, and advanced SQL for data processing.
• Experience in data modeling, schema design, and data warehousing.
• Understanding of data governance and cloud security practices.
• Familiarity with Git and basic CI/CD practices is a plus.
• Strong problem-solving and communication skills for technical collaboration.