Ingeniero de Datos Senior AWS – Data Lake y ETL

The Big Jobsite; Aguascalientes; Vor Ort; MXN 900.000 - 1.600.000; Vollzeit

Zusammenfassung

Capgemini Mexico is seeking a Senior Data Engineer (AWS) to design, build and evolve enterprise-scale data platforms. You will develop scalable data pipelines, optimize data lakes and warehouses, and collaborate with cross-functional teams on end-to-end cloud data solutions.

In this role, you will promote governance, quality, automation and security, while contributing to modern data architectures and cost-efficient cloud practices across multiple business domains.

Qualifikationen

• Experience designing data lakes and data warehouses on AWS.
• Proficient in Python, SQL and Spark for ETL/ELT pipelines.
• Knowledge of data governance, security and cost optimization on cloud.

Aufgaben

• 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 multiple sources including APIs, databases, files and enterprise apps.
• 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.
• Automate ingestion, transformation, monitoring and deployment with DevOps/CI-CD practices.
• Collaborate with architects, analysts, data scientists and engineers to deliver data solutions.
• Troubleshoot data integration and platform issues while driving continuous improvement.

Kenntnisse

AWS data engineering

ETL/ELT development

Cloud-native architectures

Data lake design

Python

SQL

Spark

AWS services

Tools

AWS Glue

AWS Lambda

Amazon Redshift

AWS EMR

Amazon Athena

Amazon S3

Jobbeschreibung

Capgemini Mexico is seeking a Senior Data Engineer (AWS) to design, build and evolve enterprise-scale data platforms. You will develop scalable data pipelines, optimize data lakes and warehouses, and collaborate with cross-functional teams on end-to-end cloud data solutions.

In this role, you will promote governance, quality, automation and security, while contributing to modern data architectures and cost-efficient cloud practices across multiple business domains.