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3 jobs found for Data Engineer

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    • permanent
    about the company.The hiring company is MNC, and look for data engineer to join the team for developing new solutions for in-house data analytics platform. about the job.Implementing back-end cloud-based data lake/data warehouse with best practices.Working closely with the development team to build and deliver back-end data pipelining components following industry best practices and in adherence with architectural principles.Designing, developing, and main
    about the company.The hiring company is MNC, and look for data engineer to join the team for developing new solutions for in-house data analytics platform. about the job.Implementing back-end cloud-based data lake/data warehouse with best practices.Working closely with the development team to build and deliver back-end data pipelining components following industry best practices and in adherence with architectural principles.Designing, developing, and main
    • permanent
    • HK$45,000 - HK$65,000 per month
    about the company.Leading life insurance and financial services companyabout the job.Create and implement a data strategy using Azure Data tools for advanced data processing and analytics.Lead the development of data pipelines with a focus on optimizing Databricks components and cluster performance.Set up data integration configurations for Extract, Transform, Load (ETL) processes aligned with target data architecture.Understand and configure enterprise da
    about the company.Leading life insurance and financial services companyabout the job.Create and implement a data strategy using Azure Data tools for advanced data processing and analytics.Lead the development of data pipelines with a focus on optimizing Databricks components and cluster performance.Set up data integration configurations for Extract, Transform, Load (ETL) processes aligned with target data architecture.Understand and configure enterprise da
    • permanent
    • HK$65,000 per month
    about the company.Leading life insurance and financial services companyabout the job.Create and implement a data strategy using Azure Data tools for advanced data processing and analytics.Lead the development of data pipelines with a focus on optimizing Databricks components and cluster performance.Set up data integration configurations for Extract, Transform, Load (ETL) processes aligned with target data architecture.Understand and configure enterprise da
    about the company.Leading life insurance and financial services companyabout the job.Create and implement a data strategy using Azure Data tools for advanced data processing and analytics.Lead the development of data pipelines with a focus on optimizing Databricks components and cluster performance.Set up data integration configurations for Extract, Transform, Load (ETL) processes aligned with target data architecture.Understand and configure enterprise da

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