SENIOR/DATA ENGINEER

CHARLES & KEITH GROUP; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

CHARLES & KEITH GROUP is seeking a Senior Data Engineer in Singapore to design, build, and optimize scalable data solutions on Alibaba Cloud. You will own the data pipelines, ensure data quality, and support analytics across the business.

You will lead technical efforts, mentor junior engineers, and collaborate with analysts and stakeholders to translate business needs into robust data architectures using Hologres, MaxCompute and DataWorks.

Qualifications

• 5+ years of data engineering experience with Alibaba Cloud
• Proficient in Hologres, MaxCompute and related big data tools
• Strong SQL, Python or Spark skills for data processing

Responsibilities

• Design and optimize ETL/ELT pipelines on Alibaba Cloud
• Develop and optimize data warehouses using Hologres, MaxCompute, DataWorks
• Collaborate with analysts/scientists and translate requirements
• Lead and mentor junior engineers, set data engineering standards

Skills

SQL

Python

Spark

Data modeling

Data warehousing

Leadership

Education

Bachelor's degree

Master's degree

Tools

Alibaba Cloud

Hologres

MaxCompute

DataWorks

Flink

Job description

We’re on the lookout for individuals who are passionate about fashion, think outside the box, and have an eye for innovation.

Unleash your potential with us, and join us as we create joy and excitement in our global community to empower people to express themselves freely through fashion.

Job Overview:

The Senior/Data Engineer is responsible for designing, developing, and optimizing scalable data solutions on Alibaba Cloud’s big data platforms, including MaxCompute and Hologres. This role will take a hands-on approach in building robust data pipelines, ensuring data quality and integrity, and supporting the organization’s data-driven initiatives. The ideal candidate has deep experience with Alibaba Cloud’s big data ecosystem and is proficient in leading technical efforts in complex data warehousing and processing environments.

Responsibilities:

1. Data Pipeline Development and Optimization

• 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

2. Data Warehouse Management

• Develop, manage, and optimize big data warehouses on Alibaba Cloud, using tools like Hologres, MaxCompute, and DataWorks
• Implement data modeling best practices to structure and organize data for optimal accessibility, flexibility, and query performance
• Establish data validation, monitoring, and quality assurance practices to maintain high data quality standards across the data warehouse

3. Collaboration and Team Management

• 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

4. Data Governance and Compliance

• 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

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or related field
• 5+ years in data engineering, with strong hands-on experience in Alibaba Cloud, particularly Hologres, MaxCompute, and related big data tools
• Proficiency in big data technologies (e.g., Hologres, MaxCompute, DataWorks, Flink), 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
• Team player with strong collaboration skills, able to work effectively with both internal and external teams