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data engineer- global tech mnc- 11k.

job details

summary

    job details
    about the role
    • Create and maintain optimal data pipeline architecture
    • Assemble large, complex data sets that meet functional / non-functional business requirements
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
    • Work with data and analytics experts to strive for greater functionality in our data systems

    Skills and experience required

    • Bachelor in Computer Science, Statistics or related field
    • At least 3 years of SQL experience, working with relational databases, data warehousing, query authoring (SQL) as well as working familiarity with a variety of databases
    • At least 3 years experience in building and optimizing custom ETL pipelines, architectures and data sets including maintenance and monitoring
    • Development experience in C#, ASP .NET & frontend is a plus
    • Strong interest in discovering new technologies (e.g. ML, AI)
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
    • Build processes supporting data transformation, data structures, metadata, dependency and workload management
    • A successful history of manipulating, processing and extracting value from large disconnected datasets

    To apply online please use the apply function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253)



    Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.

    about the role
    • Create and maintain optimal data pipeline architecture
    • Assemble large, complex data sets that meet functional / non-functional business requirements
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
    • Work with data and analytics experts to strive for greater functionality in our data systems

    Skills and experience required

    • Bachelor in Computer Science, Statistics or related field
    • At least 3 years of SQL experience, working with relational databases, data warehousing, query authoring (SQL) as well as working familiarity with a variety of databases
    • At least 3 years experience in building and optimizing custom ETL pipelines, architectures and data sets including maintenance and monitoring
    • Development experience in C#, ASP .NET & frontend is a plus
    • Strong interest in discovering new technologies (e.g. ML, AI)
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
    • Build processes supporting data transformation, data structures, metadata, dependency and workload management
    • A successful history of manipulating, processing and extracting value from large disconnected datasets

    To apply online please use the apply function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253)



    Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.