Databricks Data Engineer - Cloud Platform & AI Insights

KYNDRYL (SINGAPORE) PTE. LTD.; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Kyndryl Singapore is seeking a Data Engineer specializing in Databricks to design, develop, and maintain scalable data pipelines and data platforms that support analytics, AI, and BI initiatives. You will work across cloud environments, integrate diverse data sources, and deliver trusted, high-quality information to stakeholders.

You will collaborate with Data Architects, Analysts, Project Managers, and Developers in an Agile environment, contribute to CI/CD practices, and help evolve our modern

Formación

• Hands-on data engineering with Databricks, Spark, SQL and Python.
• Experience building ETL/ELT pipelines in cloud environments (AWS, Azure or GCP).
• Strong knowledge of data warehousing, data lakes, data marts, and data governance.

Responsabilidades

• Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies.
• Build and optimize ETL/ELT processes for high-quality, reliable data.
• Integrate data from multiple sources with security and governance in mind.
• Develop backend data services and APIs for data-driven apps and analytics.
• Collaborate with Data Architects, Business Analysts, Project Managers, Developers, and Analytics teams to deliver data solutions.
• Support Agile delivery, CI, code reviews, and operational excellence across the data platform.

Conocimientos

Databricks

Apache Spark

SQL

Python

ETL/ELT

AWS/Azure/GCP

Data warehousing

APIs

CI/CD

Agile

Data governance

Herramientas

AWS/Azure/GCP

Descripción del empleo

Kyndryl Singapore is seeking a Data Engineer specializing in Databricks to design, develop, and maintain scalable data pipelines and data platforms that support analytics, AI, and BI initiatives. You will work across cloud environments, integrate diverse data sources, and deliver trusted, high-quality information to stakeholders.

You will collaborate with Data Architects, Analysts, Project Managers, and Developers in an Agile environment, contribute to CI/CD practices, and help evolve our modern