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Data Engineer - Databricks Platform

kyndryl · Singapore

New
Mid 🇬🇧 English
Databricks Apache Spark SQL Python ETL ELT AWS Azure GCP Microsoft Fabric Apache Kafka Apache Hadoop

Job description

About the role

Kyndryl is hiring a Data Engineer specializing in the Databricks platform in Singapore. You will architect and maintain enterprise data platforms that support advanced analytics, reporting, artificial intelligence and business intelligence, working across cloud environments and collaborating with multidisciplinary teams.

Key responsibilities

  • Design, develop and maintain scalable data pipelines, data lakes, data warehouses and data marts using Databricks and cloud-native technologies.
  • Build and optimize ETL and ELT processes to ensure high-quality, reliable and accessible data.
  • Integrate data from multiple sources while respecting scalability, compliance, security and data governance standards.
  • Develop backend data services and APIs to support data-driven applications and analytics.
  • Work with Data Architects, Business Analysts, Project Managers, Developers and Analytics teams.
  • Support Agile delivery, continuous integration, code reviews and operational excellence.

Required profile

  • Proven experience building and supporting ETL and ELT pipelines in cloud environments such as AWS, Azure or GCP.
  • Strong knowledge of data warehousing, data lakes, data marts, data virtualization and modern data architecture.
  • Experience with relational and non-relational databases, cloud storage and large-scale distributed data processing.
  • Understanding of data governance, security, access controls, data quality and regulatory compliance.
  • Familiarity with Agile, APIs, version control and CI.
  • Growth mindset, customer focus and ability to collaborate across teams.

Required skills

  • Databricks, Apache Spark, SQL and Python
  • Preferred: Microsoft Fabric, lakehouse architecture, Apache Kafka, Apache Hadoop, streaming data solutions, web scraping and BI platforms
  • Preferred: cloud or Databricks certifications

Career progression is possible toward Senior Data Engineer, Data Architect, Cloud Data Architect, Analytics Lead or Technical Delivery Leader, with learning opportunities including certifications from Microsoft, Google and Amazon.

Questions fréquentes

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Source : ats:workday

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Published 1 day ago

Expires 1 month from now

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kyndryl

Singapore