[Hiring] Senior Data Engineer @Capgemini

Role Description

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.

• 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.

Qualifications

• 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.

Benefits

• 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.
• 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.