- Location
- HK
- Type
- Full-time
- Department
- Operations
- Closing date
- Today
- Source
- Vincere
Description
Responsibilities:
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Oversee the planning, development, and maintenance of the company’s data platform and related solutions.
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Design, build, and automate scalable data pipelines and streaming processes.
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Develop and manage data models and schemas to support seamless data integration and analytics.
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Monitor ETL/ELT processes by establishing performance metrics, proactively identifying issues, and implementing optimizations to improve efficiency across the data lifecycle.
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Collaborate with data analysts, data stewards, and business stakeholders to gather requirements and translate them into technical solutions.
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Assess and recommend data tools based on performance, scalability, and alignment with business needs.
Requirements:
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Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
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Minimum of 3 years’ experience in data engineering.
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Strong proficiency in SQL is essential.
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Hands-on experience with Azure Databricks or Azure Synapse; Azure Data Engineer Associate certification is a plus.
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Practical experience in programming languages such as PySpark, Python, R, Java, or Scala for data engineering tasks.
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Proven experience in designing and deploying data solutions on cloud platforms, particularly Microsoft Azure.
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Strong analytical and problem-solving skills with a data-driven mindset.
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Ability to work independently as well as collaboratively within a team.
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Good command of both written and spoken English.
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Willingness to travel when required.
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Self-motivated, adaptable, well-organized, and comfortable working in dynamic or ambiguous environments.