Data Engineer

4 weeks ago


Singapur, Singapore Oldendorff Full time

About Oldendorff

Oldendorff is a leading global bulk shipping company with a rich history of innovation and excellence. With a fleet of over 700 ships and a presence in 118 countries, we are a dynamic and rapidly evolving organization that requires talented individuals to drive our growth and success.

Our Data Engineering Team

Our data engineering team is a key part of our technology organization, responsible for designing, building, and maintaining scalable data pipelines and architectures to support our business operations. We work collaboratively with data scientists, analysts, and other stakeholders to optimize data integration, storage, and retrieval processes.

Key Responsibilities

  • Design and develop our Business Intelligence (BI) and data architecture solution in the cloud, working closely with cross-functional teams to ensure seamless integration and data flow.
  • Develop data solutions using various platform technologies, including Databricks, Logic Apps, Azure Data Factory, and Azure Synapse.
  • Design and implement low-code solutions using Power Platform to streamline data processing and analysis.
  • Apply DevOps principles to ensure efficient and scalable data engineering practices.
  • Develop and maintain our integrated data layer, leveraging SQL and PySpark to support data-driven analysis and reporting.
  • Collaborate with our development team to select and implement suitable data technologies, ensuring alignment with business requirements.
  • Stay up-to-date with the latest developments in data technologies and evaluate new solutions to drive innovation and improvement.

Requirements

  • Relevant education or training in IT or a related field.
  • Experience working with various database technologies, scalable big data storage, and cloud-based data integration tools.
  • Proficiency in cloud technologies and agile project management methodologies, such as Scrum and Kanban.
  • Familiarity with Atlassian Suite (Jira, Confluence, Bitbucket, and Bamboo) and experience with ETL/ELT processes.
  • Strong problem-solving skills, with the ability to communicate effectively with colleagues in English.
  • At least 3 years of experience working with databases or BI environments, with a focus on data integration and processing.

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