GCP Data Engineer — Scalable Pipelines & AI

HCL Technologies Limited; Granada; Hybrid; EUR 52.000 - 75.000; Vollzeit

Zusammenfassung

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, focusing on modern cloud-native data platforms on Google Cloud Platform. You will design and optimize ETL/ELT pipelines, build data models for analytics and AI use cases, and ensure data quality and governance in enterprise environments.

The role emphasizes collaboration with architects and business stakeholders, with a hybrid-friendly culture and opportunities to grow through cutting-edge learning and

Qualifikationen

• 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 fluency.

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

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

SQL

Python

ETL/ELT

Data warehousing

Spanish

English

Tools

dbt

Spark

Kafka

Terraform

Docker

Looker

Power BI

Jobbeschreibung

Kyndryl is seeking a Data Engineer to join the Applications, Data & AI practice, focusing on modern cloud-native data platforms on Google Cloud Platform. You will design and optimize ETL/ELT pipelines, build data models for analytics and AI use cases, and ensure data quality and governance in enterprise environments.

The role emphasizes collaboration with architects and business stakeholders, with a hybrid-friendly culture and opportunities to grow through cutting-edge learning and