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data engineering manager (up to 5 months bonus).

job details

summary

    job details

    about the company.

    My client is a fast-growing insurance company and with their successful footprints over APAC markets, they are now looking for a Data Engineering Manager to join their scalable data team. You will be responsible for transforming new data initiatives into workable solutions for different business users. Candidates with less experience will be considered as Assistant Data Engineering Manager.

    about the team.

    This will be a regional role work closely with external & internal IT team, including data team, infrastructure team, security team and project team



    about the job.

    • Design, develop and support the localization of data solution projects (currently working on data lake project)
    • Develop automation framework using programming languages such as python and automate the big data workflows such as ingestion, aggregation, ETL processing etc.
    • Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
    • Design and develop best practices in data management and data lifecycle processes
    • Streamline data access and security to enable users can access the data easily



    skills & experiences required.
    • Bachelor Degree or above in Computer Science/Business Administration or related discipline
    • 5 years or above experience in data engineering field, candidate with less experience will be considered as AM
    • Experience in handling large data sets and working with structured and unstructured datasets
    • Experience in Azure Big Data Solutions such as Databricks, Data Factory, Gen2, etc
    • Experience in data streaming by using Kafka/ Confluent will be a plus
    • Strong stakeholder management and project management
    • Proficient in both written and spoken English & Chinese



    If you're interested in this opportunity, apply now to secure your application. For further information, feel free to reach Vera Wong at vera.wong@randstad.com.hk for a confidential chat on this role or other opportunities.

    about the company.

    My client is a fast-growing insurance company and with their successful footprints over APAC markets, they are now looking for a Data Engineering Manager to join their scalable data team. You will be responsible for transforming new data initiatives into workable solutions for different business users. Candidates with less experience will be considered as Assistant Data Engineering Manager.

    about the team.

    This will be a regional role work closely with external & internal IT team, including data team, infrastructure team, security team and project team



    about the job.

    • Design, develop and support the localization of data solution projects (currently working on data lake project)
    • Develop automation framework using programming languages such as python and automate the big data workflows such as ingestion, aggregation, ETL processing etc.
    • Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
    • Design and develop best practices in data management and data lifecycle processes
    • Streamline data access and security to enable users can access the data easily



    skills & experiences required.
    • Bachelor Degree or above in Computer Science/Business Administration or related discipline
    • 5 years or above experience in data engineering field, candidate with less experience will be considered as AM
    • Experience in handling large data sets and working with structured and unstructured datasets
    • Experience in Azure Big Data Solutions such as Databricks, Data Factory, Gen2, etc
    • Experience in data streaming by using Kafka/ Confluent will be a plus
    • Strong stakeholder management and project management
    • Proficient in both written and spoken English & Chinese



    If you're interested in this opportunity, apply now to secure your application. For further information, feel free to reach Vera Wong at vera.wong@randstad.com.hk for a confidential chat on this role or other opportunities.