Hybrid Data Engineer: Cloud Pipelines on GCP

Cronoshare.Com; Barcelona; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Kyndryl is seeking a Data Engineer to join its ADAI practice, building cloud-native data platforms on Google Cloud. You will deliver scalable ETL/ELT pipelines and data models to enable analytics and AI initiatives in enterprise environments.

Ideal candidates have 3+ years of data engineering experience, strong SQL and Python, and hands-on experience with BigQuery, Dataflow, Pub/Sub, Composer, and Dataproc on GCP. Spanish and English fluency is required, in a collaborative hybrid setting.

Qualifikationen

• 3+ years of experience as a Data Engineer or similar role.
• Hands-on experience with GCP 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 fluent.

Aufgaben

• 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.

Kenntnisse

SQL

Python

Data modeling

ETL/ELT

Tools

dbt

Spark

Kafka

Terraform

Docker

Jobbeschreibung

Kyndryl is seeking a Data Engineer to join its ADAI practice, building cloud-native data platforms on Google Cloud. You will deliver scalable ETL/ELT pipelines and data models to enable analytics and AI initiatives in enterprise environments.

Ideal candidates have 3+ years of data engineering experience, strong SQL and Python, and hands-on experience with BigQuery, Dataflow, Pub/Sub, Composer, and Dataproc on GCP. Spanish and English fluency is required, in a collaborative hybrid setting.