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Job description
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.
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.
Required experience includes 3+ years as a Data Engineer or similar role, hands-on experience with Google Cloud Platform services, and strong SQL and Python programming skills. Preferred technical skills include experience with dbt, Spark, Kafka, Terraform, or Docker.
Company
Tech, Software & IT Services
Kyndryl is an independent technology services company that designs, runs, and manages advanced, reliable technology infrastructure for organizations worldwide, including many Fortune 100 clients. Its core offerings span public and private cloud services, enterprise data, security and resiliency, infrastructure management for applications, and digital workplace solutions. Leveraging a global workforce of tens of thousands of highly skilled professionals, Kyndryl adopts a holistic, ecosystem-centric approach that ensures the health and continuous growth of digital environments. By partnering closely with customers, investing in innovation, and consistently raising industry standards, Kyndryl positions itself as the heart of progress in the technology infrastructure sector.
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