Kyndryl
Enterprise • Cybersecurity • SaaS
Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.
10,000+ employees
Founded 2021
🏢 Enterprise
🔒 Cybersecurity
☁️ SaaS
Data Engineer
November 21
🗣️🇪🇸 Spanish Required
Kyndryl
Enterprise • Cybersecurity • SaaS
Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.
10,000+ employees
Founded 2021
🏢 Enterprise
🔒 Cybersecurity
☁️ SaaS
📋 Description
• Assist in building and maintaining ETL/ELT pipelines and data models for structured and unstructured data. • Support the development of scalable data architectures for batch and real-time processing in cloud and hybrid environments. • Participate in data quality assurance, validation, and governance activities. • Collaborate with data scientists, architects, and business teams to deliver data solutions aligned with project requirements. • Contribute to the integration of APIs and data services for analytics and AI use cases. • Document data workflows, processes, and best practices to ensure transparency and reproducibility. • Stay current with emerging data engineering tools, frameworks, and cloud services.
🎯 Requirements
• 2–4 years of experience in data engineering, analytics, or related technical projects. • Practical experience with Python and SQL for data processing and analysis. • Familiarity with ETL/ELT tools and frameworks (e.g., Airflow, dbt, Databricks). • Basic knowledge of cloud data services (AWS, Azure, GCP) and data pipeline tooling. • Experience with BI tools (Looker, PowerBI) for data visualization and reporting. • Understanding of data quality, governance, and validation concepts. • Fluent or native in Spanish; effective communication skills.
🏖️ Benefits
• Health insurance • Flexible work arrangements • Professional development programs • Company-wide volunteering and giving platform
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