Cloud Data Engineer — Snowflake, GCP & AWS

Accenture PLC; Monterrey; On-site; MXN 600,000 - 1,100,000; Full time

Job summary

Accenture in Monterrey seeks a Cloud Data Engineer to design, build, and maintain scalable data solutions using Snowflake, Google Cloud, and AWS. You will lead robust ETL/ELT pipelines, optimize cloud costs, and ensure data quality and governance across analytics platforms.

You will collaborate with analytics, BI, and engineering teams, contribute to data governance, and document best practices in a dynamic, global environment.

Qualifications

• Hands-on experience with Snowflake.
• Strong knowledge of Google Cloud and AWS services.
• Advanced SQL and data modeling skills.
• Experience building ETL/ELT processes and data pipelines.
• Familiarity with Python, Terraform, CI/CD pipelines, or infra automation tools.
• Understanding of cloud data ecosystems, data warehousing, and analytics platforms.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain cloud-based data architectures and solutions.
• Build and optimize data warehouses and analytics solutions using Snowflake.
• Manage and support cloud services within Google Cloud and AWS environments.
• Develop, automate, and monitor ETL/ELT pipelines and data workflows.
• Ensure data quality, security, governance, and high availability.
• Optimize system performance, scalability, and cloud costs.
• Collaborate with cross-functional teams including analytics, BI, engineering, and business stakeholders.
• Create and maintain technical documentation and best practices.

Skills

SQL proficiency

Data modeling

Analytical mindset

Communication skills

Tools

Snowflake

Google Cloud

AWS

ETL/ELT pipelines

Job description

Accenture in Monterrey seeks a Cloud Data Engineer to design, build, and maintain scalable data solutions using Snowflake, Google Cloud, and AWS. You will lead robust ETL/ELT pipelines, optimize cloud costs, and ensure data quality and governance across analytics platforms.

You will collaborate with analytics, BI, and engineering teams, contribute to data governance, and document best practices in a dynamic, global environment.