As a Senior Data Engineer, you will play a key role in designing, building, and evolving enterprise-scale data platforms that enable data-driven decision-making and advanced analytics. Leveraging deep expertise in AWS and modern data engineering practices, you will develop scalable, secure, and high-performance data solutions that support business-critical initiatives.
In this role, you will contribute to architecture decisions, design robust data pipelines, optimize data platforms, and collaborate with multidisciplinary teams to deliver end-to-end data solutions. You will help shape modern data ecosystems while promoting best practices in governance, quality, automation, and cloud engineering.
Your Role: Responsibilities & Scope
- 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 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.
- Collaborate with architects, analysts, data scientists, and engineering teams to deliver business-focused data solutions.
- Troubleshoot complex data integration and platform challenges while driving continuous improvement initiatives.
- Contribute to technical strategy, architecture reviews, and data platform modernization efforts.
Your Profile
- Demonstrates strong expertise in AWS data engineering, ETL/ELT development, cloud-native architectures, and large-scale data platform design, delivering secure and scalable solutions.
- Applies a data-driven and problem-solving mindset, proactively identifying optimization opportunities and transforming complex business requirements into effective data solutions.
- Collaborates effectively with architects, data scientists, analysts, and engineering teams, fostering alignment, knowledge sharing, and successful project outcomes.
- Takes ownership of data quality, governance, security, automation, and operational excellence, ensuring trusted and reliable data assets across the enterprise.
- Embraces innovation, continuous learning, and modern engineering practices, leveraging emerging technologies and cloud capabilities to accelerate business value and digital transformation.
What you’ll love
- Join global employee networks that promote engagement, development, and belonging.
- Access continuous learning through internal academies, certifications, and mentorship.
- Well-being hub and different wellbeing initiatives.
Need to know
- Flexible Schedules: We support flexible working hours to accommodate different lifestyles, time zones, and family responsibilities.
- Career Development in Spanish & English: Training, certifications, and mentorship programs available in both languages to support bilingual growth.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.