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Charles & Keith

Direct-to-consumer women's shoes, bags, accessories.

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • At least 5 years of data engineering experience, with strong hands-on experience in Alibaba Cloud, particularly Hologres, MaxCompute, and related big data tools.
  • Proficiency in big data technologies such as Hologres, MaxCompute, DataWorks, and Flink, and strong SQL, Python, or Spark skills for data manipulation and processing.
  • Ability to work independently and take initiative on complex data engineering tasks.
  • Capacity to lead technical efforts, mentor junior engineers, and set standards for data engineering best practices.

Responsibilities

  • Design and implement efficient ETL/ELT pipelines on Alibaba Cloud to support ingestion, transformation, and loading of large-scale data.
  • Integrate data from multiple systems into a centralized data warehouse, ensuring consistency, accuracy, and accessibility for analytics and reporting.
  • Continuously optimize and monitor data pipelines to ensure high performance, scalability, and efficient resource usage within Alibaba Cloud environments.
  • Develop, manage, and optimize big data warehouses on Alibaba Cloud using tools such as Hologres, MaxCompute, and DataWorks.
  • Implement data modeling best practices to structure and organize data for accessibility, flexibility, and query performance.
  • Establish data validation, monitoring, and quality assurance practices to maintain high data quality standards across the data warehouse.
  • Work closely with data analysts, data scientists, and business stakeholders to understand data needs and provide tailored data solutions.
  • Translate business requirements into technical specifications for data pipelines, storage, and processing solutions.
  • Provide guidance on data engineering best practices and data warehouse solutions to team members and support their technical growth.
  • Maintain clear and comprehensive documentation for data pipelines, data warehouse structures, and data governance practices.
  • Ensure compliance with data governance policies and standards for data security and privacy, working closely with security and governance teams.

About the Company

Charles & Keith

Direct-to-consumer women's shoes, bags, accessories.

preamble

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Singapore, Singapore
Founded
1996

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