Senior AWS Data Engineer - Data Lakes & Pipelines

Capgemini Engineering; Aguascalientes; On-site; MXN 900,000 - 1,300,000; Full time

Job summary

Capgemini Mexico is seeking a Senior Data Engineer to design, build, and evolve enterprise-scale data platforms that enable data-driven decision-making and advanced analytics on AWS. You will contribute to architecture decisions, design robust pipelines, and collaborate across data teams to deliver end-to-end data solutions.

The role focuses on governance, quality, automation, and cloud engineering while promoting best practices in data security and scalable architectures within a global

Qualifications

• Experience in AWS data engineering, ETL/ELT development, and cloud-native architectures for large-scale data platforms.
• Data-driven mindset with a focus on optimization, governance, and security in data ecosystems.
• Collaborates with architects, analysts, data scientists, and engineers to deliver end-to-end data solutions.

Responsibilities

• Design and implement scalable Data Lake and Data Warehouse architectures on AWS.
• Develop and maintain robust ETL/ELT pipelines using Python, SQL, Spark, and AWS services.
• Integrate data from APIs, databases, files, and enterprise applications.
• Optimize data processing workflows for performance, scalability, reliability, and cost efficiency.
• Implement data quality, governance, lineage, and security controls across the data ecosystem.
• Develop and support cloud-native data solutions using AWS Glue, Lambda, Redshift, EMR, Athena, S3, and related services.
• Automate ingestion, transformation, monitoring, and deployment processes using DevOps and CI/CD practices.

Skills

AWS data engineering

ETL/ELT development

Cloud-native architecture

Tools

Python

SQL

Spark

AWS

Job description

Capgemini Mexico is seeking a Senior Data Engineer to design, build, and evolve enterprise-scale data platforms that enable data-driven decision-making and advanced analytics on AWS. You will contribute to architecture decisions, design robust pipelines, and collaborate across data teams to deliver end-to-end data solutions.

The role focuses on governance, quality, automation, and cloud engineering while promoting best practices in data security and scalable architectures within a global