工作描述
7 天前
We are looking for a highly motivated Data Engineer to join our multi‑year enterprise data migration and modernization program. You will play a key role in migrating legacy data platforms to a new cloud-based architecture on Azure , leveraging Databricks , modern ETL frameworks, and scalable data engineering best practices.
This position involves end‑to‑end data engineering work, including pipeline design, performance optimization, cloud infrastructure integration, and post‑migration enhancements. You will collaborate closely with architects, business users, and cross‑functional technical teams to ensure our next‑generation data platform is reliable, scalable, and future‑ready.
Key Responsibilities
Participate in end‑to‑end data migration from legacy systems to the Microsoft Azure cloud platform.
Develop scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and SQL‑based transformation frameworks.
Implement batch and streaming data ingestion pipelines across multiple data sources.
Optimize complex SQL queries, transformation logic, and workflows for long‑term maintainability and high performance.
Enhance post‑migration pipelines to improve reliability, throughput, and cost efficiency.
Monitor data pipelines, perform root‑cause analysis, and resolve data or performance‑related issues.
Maintain detailed technical documentation, including data flow diagrams, transformation logic, and runbooks.
Work closely with business analysts, data architects, DevOps, and stakeholders to support reporting and advanced analytics needs.
Requirements
2–5 years of hands‑on experience in data engineering, cloud data platforms, or large‑scale migration projects.
Hands‑on experience with Microsoft Azure & Databricks .
Strong proficiency in SQL, data modeling, and relational databases (Oracle, SQL Server, etc.).
Solid experience with ETL/ELT design and data pipeline development.
Experience working with big data or distributed compute frameworks is a plus (e.g., Spark).
Fluent in English and Cantonese/Mandarin.
Application Questions
Your application will include the following questions:
• Which of the following statements best describes your right to work in Hong Kong?
• What's your expected monthly basic salary?
• How many years' experience do you have as a data engineer?
• Which of the following data analytics tools are you experienced with?
• Which of the following languages are you fluent in?
• How much notice are you required to give your current employer?
#J-18808-Ljbffr
This position involves end‑to‑end data engineering work, including pipeline design, performance optimization, cloud infrastructure integration, and post‑migration enhancements. You will collaborate closely with architects, business users, and cross‑functional technical teams to ensure our next‑generation data platform is reliable, scalable, and future‑ready.
Key Responsibilities
Participate in end‑to‑end data migration from legacy systems to the Microsoft Azure cloud platform.
Develop scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and SQL‑based transformation frameworks.
Implement batch and streaming data ingestion pipelines across multiple data sources.
Optimize complex SQL queries, transformation logic, and workflows for long‑term maintainability and high performance.
Enhance post‑migration pipelines to improve reliability, throughput, and cost efficiency.
Monitor data pipelines, perform root‑cause analysis, and resolve data or performance‑related issues.
Maintain detailed technical documentation, including data flow diagrams, transformation logic, and runbooks.
Work closely with business analysts, data architects, DevOps, and stakeholders to support reporting and advanced analytics needs.
Requirements
2–5 years of hands‑on experience in data engineering, cloud data platforms, or large‑scale migration projects.
Hands‑on experience with Microsoft Azure & Databricks .
Strong proficiency in SQL, data modeling, and relational databases (Oracle, SQL Server, etc.).
Solid experience with ETL/ELT design and data pipeline development.
Experience working with big data or distributed compute frameworks is a plus (e.g., Spark).
Fluent in English and Cantonese/Mandarin.
Application Questions
Your application will include the following questions:
• Which of the following statements best describes your right to work in Hong Kong?
• What's your expected monthly basic salary?
• How many years' experience do you have as a data engineer?
• Which of the following data analytics tools are you experienced with?
• Which of the following languages are you fluent in?
• How much notice are you required to give your current employer?
#J-18808-Ljbffr

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