Descripción de la oferta
Experteer Overview As a Data Engineer in Kyndryl’s ADAI practice, you will build scalable cloud-native data pipelines on Google Cloud Platform to power analytics and AI use cases across enterprise environments. You will collaborate with architects and business stakeholders to design data models, ensure data quality, and automate end-to-end data workflows. This role offers the chance to work on modern data platforms within a supportive, growth‑oriented culture that values belonging and continuous learning. You will contribute to impactful data initiatives that enable smarter decisions and faster innovation.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 GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, 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 fluentRequisitos principales
- Hybrid-friendly culture
- Be Well programs
- career development opportunities
- certifications with Microsoft, Google, and Amazon
- coaching and hands-on experiences
- empowerment to grow and thrive
