16 ago
|
Kyndryl
|
Barcelona
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that
drive advantage for the world’s leading businesses. We are at the heart of
progress; with proven expertise and a continuous flow of AI-powered insight,
enabling smarter decisions, faster innovation, and a lasting competitive edge.
For our people—Kyndryls—that means doing purposeful work that powers human
progress. Join us and experience a flexible, supportive environment where your
well-being is prioritized and your potential can thrive.
The Role
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 idóneo 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.
Key Responsibilities:
• 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.
Who You Are
Required Experience:
• 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 fluid level.
Preferred Technical Skills:
📌 Data Engineer (Barcelona)
🏢 Kyndryl
📍 Barcelona