Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role

Lead the design and implementation of robust, scalable, and secure data solutions on Google Cloud Platform.
Architect and optimize data pipelines using Cloud Composer (Airflow), BigQuery, Dataproc, Dataflow, and Pub/Sub.
Ensure high standards of data quality, security, governance, and compliance across the data ecosystem.
Provide technical leadership and guidance to data engineers and project teams.
Drive incident management, root cause analysis, and quick resolution of critical production issues.
Your Profile

Data Engineering and Cloud professional with strong experience in building enterprise-scale data platforms and analytics solutions.




Extensive experience in Google Cloud Platform (GCP) technologies including BigQuery, Cloud Composer (Airflow), Dataproc, Pub/Sub, and Cloud SQL.
Strong programming skills in SQL and Python.
Expertise in designing and implementing scalable ETL/ELT pipelines, data integration, and data warehousing solutions.
Experience in ensuring data quality, governance, security, lineage, and compliance.
What will you love at capgemini

Opportunity to work on large-scale cloud and data transformation programs for global clients.
Exposure to cutting-edge technologies in Cloud, Data Engineering, Analytics, AI, and Digital Transformation.
Strong culture of continuous learning, certifications, and career development, especially in cloud technologies.
Collaborative and inclusive work setting that encourages innovation and knowledge sharing.
Ability to work with diverse, global teams across industries and geographies.
Capgemini is an AI-po

📌 Lead Data Engineer (Noida)
🏢 Capgemini
📍 Noida