Azure Databricks Data Engineer — Pipelines & Platform

MICHAEL PAGE INTERNATIONAL PTE LTD

Singapore

On-site

SGD 70,000 - 110,000

Full time

7 days ago
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Benefits offered by this job

Monthly mobile allowance S$50
Performance bonus up to 1 month

Job summary

Michael Page International Pte Ltd in Singapore is seeking an Azure Data Engineer (Data Platform) to develop and maintain data pipelines using Azure Databricks and to design data integration and transformation processes.

You will work with cross-functional teams to ensure solutions meet business needs, optimise workflows for performance and cost, monitor platform reliability, and document solutions while adhering to data governance and security policies.

Qualifications

  • Strong proficiency in Azure Databricks and data engineering tools.
  • Design and implement data platforms in the technology industry.
  • Knowledge of data integration, processes, and data modelling.
  • Familiarity with data governance and security best practices.
  • Problem-solving skills with the ability to troubleshoot technical issues effectively.

Responsibilities

  • Develop and maintain data pipelines using Azure Data bricks to help business requirements.
  • Design and implement data integration and transformation processes.
  • Work with cross-functional teams to ensure data solutions meet business needs.
  • Optimise data workflows for performance and cost efficiency.
  • Monitor and troubleshoot data platform issues to ensure reliability.
  • Document technical solutions and processes for future reference.
  • Ensure compliance with data security and governance policies.
  • Contribute to the continuous improvement of data engineering practices.

Skills

Azure Databricks
Data pipelines
Data modelling
Data governance
Troubleshooting
Cross-functional collaboration
Documentation

Tools

Azure Databricks

Job description

Michael Page International Pte Ltd in Singapore is seeking an Azure Data Engineer (Data Platform) to develop and maintain data pipelines using Azure Databricks and to design data integration and transformation processes.

You will work with cross-functional teams to ensure solutions meet business needs, optimise workflows for performance and cost, monitor platform reliability, and document solutions while adhering to data governance and security policies.

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