Data Engineer (GCP)

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role We are looking for a Data Engineer to join Kyndryl's Applications, Data & AI (ADAI) practice, supporting the implementation of modern cloud-native data platforms on Google Cloud Platform (GCP). The ideal candidate is passionate about building scalable and reliable data pipelines, enabling analytics and AI use cases, and delivering high-quality data solutions in enterprise environments. Key Responsibilities: • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform. • Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data. • Develop and maintain data models supporting analytics, reporting, and AI initiatives. • Implement data quality validation, monitoring, and governance controls. • Collaborate with architects and business stakeholders to translate requirements into technical solutions. • Support orchestration, automation, and operationalization of data pipelines. Who You Are Required Experience: • 3+ years of experience as a Data Engineer or similar role. • Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc. • Strong SQL and Python programming skills. • Experience developing ETL/ELT pipelines and distributed data processing solutions. • Knowledge of data warehousing concepts and dimensional modeling. • Spanish and English fluid level. Preferred Technical Skills: • Experience with db