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Kyndryl

Managed IT infrastructure and cloud services

Data Engineer - Databricks Platform

Data EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Hands-on experience designing and developing data engineering solutions using Databricks, Apache Spark, Structured Query Language (SQL), and Python.
  • Proven experience building and supporting Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) pipelines in cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Strong knowledge of data warehousing, data lakes, data marts, data virtualization, and modern data architecture principles.
  • Experience working with relational and non-relational databases, cloud storage platforms, and large-scale distributed data processing frameworks.
  • Understanding of data governance, security, access controls, data quality management, and regulatory compliance requirements.
  • Familiarity with Agile development practices, application programming interfaces (APIs), version control, continuous integration, and collaborative software engineering methodologies.

Responsibilities

  • Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies.
  • Build and optimize Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes to ensure high-quality, reliable, and accessible data.
  • Integrate data from multiple sources, ensuring scalability, compliance, security, and adherence to data governance standards.
  • Develop backend data services and application programming interfaces (APIs) to support data-driven applications and analytics solutions.
  • Collaborate with Data Architects, Business Analysts, Project Managers, Developers, and Analytics teams to deliver business-focused data solutions.
  • Support Agile delivery practices, continuous integration, code reviews, and operational excellence across the data platform lifecycle.

Desired Qualifications

  • Experience with Microsoft Fabric and lakehouse architecture.
  • Knowledge of Apache Kafka, Apache Hadoop, or other big data technologies.
  • Experience developing real-time and streaming data solutions.
  • Exposure to web data extraction and automation technologies.
  • Understanding of data modelling, analytics platforms, and business intelligence solutions.
  • Relevant cloud or Databricks certifications.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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