Senior Data Engineer at CLP

職位描述：

最新職位資訊來自 CLP 職位為 Senior Data Engineer. If the Senior Data Engineer 職位空缺在香港符合您的資格，請直接透過更新後的 Jobkos 招聘門戶提交最新的申請或履歷。

請注意，求職申請並非總是容易的，申請人必須符合公司設定的特定要求。我們希望以下在 CLP 職位為 Senior Data Engineer 的職業機會適合您的專業資格。

Overview

Build end-to-end data pipelines including data collection, transformation, quality and integration solutions to facilitate CLP’s data & analytics solutions.
Collaborate with solution design and business requirements teams to identify data requirements and assemble large, complex data sets that meet the requirements
Design, implement and fine-tune analytics solutions that meet business and technical requirements
Work collaboratively with the CLP data architect to ensure data model integrity
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Create data tools for analytics and data scientists teams that assist them in building and optimising the data models and solutions
Work with the DevOps engineer to support the consistent operation of data & analytics solutions
Work closely with the data analysts & data scientists to design and develop APIs

Working 地點: Kai Tak

Employment period: 1-year contract

Main Responsibilities

Build end-to-end data pipelines including data collection, transformation, quality and integration solutions to facilitate CLP’s data & analytics solutions.
Collaborate with solution design and business requirements teams to identify data requirements and assemble large, complex data sets that meet the requirements
Design, implement and fine-tune analytics solutions that meet business and technical requirements
Work collaboratively with the CLP data architect to ensure data model integrity
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Create data tools for analytics and data scientists teams that assist them in building and optimising the data models and solutions
Work with the DevOps engineer to support the consistent operation of data & analytics solutions
Work closely with the data analysts & data scientists to design and develop APIs

Requirements

Academic Qualification:

Bachelor or Masters degree in a related field (e.g. computer science, information technology, etc.)

Professional Experience

At least 5 years experience in SQL/PostgreSQL, data and BI solutions with integration to 3rd party tools
Experience working with application server software (e.g. ERP), Spark, Scala, Python, SQL scripting languages, relational databases (e.g. SQL DB/DW), NoSQL platforms (e.g. HBase, MongoDB, Cassandra), cloud technologies (e.g. Azure)
Experience with Data Lake, Databricks, Data Factory, BI Dashboard, and BI implementation projects
Highly experienced with processing large and complex datasets and building end-to-end data pipelines using on-premise or cloud-based data platforms
Experienced in coding in data management, data warehousing or unstructured data environments
Experience in the energy sector or other asset-intensive industries will be highly regarded
Experience in using coding assistants (e.g. GitHub Copilot) for uplifting productivity in development
Familiar with GenAI concepts like RAG, orchestration frameworks like LangChain and LlamaIndex, vector databases etc. to collaborate efficiently with data scientists and ML engineers in AI use cases

Competencies Technical (Functional)

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