Data Engineer - Google Cloud Platform (Gcp)

Experteer Overview No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.As a Data Engineer in Kyndryl’s ADAI practice, you will design and operate scalable cloud-native data pipelines on GCP to enable analytics and AI use cases.You will work with cross-functional stakeholders to translate requirements into reliable data solutions, building quality, governed data flows and supporting automation.You will contribute to enterprise-scale data platforms that power decision-making and innovation, in a collaborative, growth-oriented environment.Compensaciones / Beneficios* 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 pipelinesResponsabilidades* 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 xqbhyrx programming skills* Experience developing ETL/ELT pipelines and distributed data processing solutions* Knowledge of data warehousing concepts and dimensional modeling* Spanish and English fluid levelRequisitos principales* hybrid-friendly culture* Be Well programs* certifications with Microsoft, Google, and Amazon* continuous feedback* personalized development goals* impactful, meaningful work

You will contribute to enterprise-scale data platforms that power decision-making and innovation, in a collaborative, growth-oriented environment.Compensaciones / Beneficios* 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 pipelinesResponsabilidades* 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 xqbhyrx programming skills* Experience developing ETL/ELT pipelines and distributed data processing solutions* Knowledge of data warehousing concepts and dimensional modeling* Spanish and English fluid levelRequisitos principales* hybrid-friendly culture* Be Well programs* certifications with Microsoft, Google, and Amazon* continuous feedback* personalized development goals* impactful, meaningful work