Summary: This Senior Data Engineer role involves designing and implementing scalable data infrastructure, building and optimizing cloud-based data platforms, and developing robust data pipelines using Snowflake and AWS. Highlights: 1. Design and implement scalable data infrastructure for analytics and AI 2. Build and optimize modern cloud-based data platforms 3. Develop robust data pipelines using Snowflake and AWS Senior Data Engineer (Snowflake / AWS)Job Summary We are looking for a **Senior Data Engineer** to help design and implement scalable data infrastructure that supports advanced analytics and AI initiatives. In this role, you will build and optimize modern cloud\-based data platforms, enabling reliable data ingestion, transformation, and consumption across multiple systems. You will work with cloud technologies such as **Snowflake** and **Amazon Web Services** to develop robust data pipelines and support analytics, reporting, and machine learning workloads. Key Responsibilities * Design, build, and maintain scalable **data pipelines** to move data from source systems into a cloud data lake. * Develop and optimize data transformations in **Snowflake** to support analytics, reporting, and AI/ML initiatives. * Implement ingestion pipelines using **AWS services** such as DMS, Glue, Lambda, and S3\. * Ensure data quality, governance, and reliability across data platforms. * Build and maintain **CI/CD pipelines** for data engineering workflows. * Collaborate with cross\-functional teams to support data strategy and analytics initiatives. * Mentor junior engineers and contribute to data engineering best practices. Required Qualifications * **5\+ years of experience in Data Engineering** * Strong experience working with **Snowflake** or similar cloud data warehouses * Hands\-on experience with **Amazon Web Services** data services such as: * DMS * Glue * Lambda * S3 * EventBridge * Strong programming skills in **Python and SQL** * Experience implementing **Change Data Capture (CDC)** pipelines and real\-time data processing * Solid understanding of **data modeling and dimensional design** * Experience implementing **CI/CD pipelines** using tools like **GitHub Actions** or similar * Conversational English (interviews will be conducted in English) Nice to Have * Experience working with modern data architectures and data lake environments * Experience supporting analytics and AI/ML workloads * Experience implementing Infrastructure as Code (IaC) Work Model Hybrid work model in **Monterrey**, **Mexico City**, or **Guadalajara**. Job Types: Full\-time, Permanent Pay: $50,000\.00 \- $85,000\.00 per month Application Question(s): * Describe a data pipeline you have built using Snowflake or another cloud data warehouse. What tools and technologies did you use? * Which AWS services have you used to build or manage data pipelines? Please describe your experience. * Have you implemented Change Data Capture (CDC) or real\-time data processing pipelines? If yes, explain the tools and architecture used. * This role follows a hybrid work model in Monterrey, Mexico City, or Guadalajara. Are you able to work from one of these locations? Language: * English (Required) Work Location: Hybrid remote in Miravalle, 64650 Monterrey, N.L.