(Senior) Data Engineer - GCP, Big Query
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A well-known bank is now hiring a Data Engineer role for their new Data Mart Project.
Responsibility
- To build enterprise Big Data Analytic and AI blueprint and collaborate with business users across the organization to assess their needs and define analytical strategy to support Data Processing for core banking data to support Digital Transformation. automating and productizing advanced big data transformation and analytics pipelines.
- To assist the evaluation, selection and implementation of tools for data integration and analytics
- To develop Cloud Data Lake, Data Modeling and build Extract-Transform-Load (ETL) processes
- To build Real Time integration capabilities from data source and analytic platform to customer touchpoints
- To build Data Governance capabilities and work with Data Scientist and Data Analyst
- To collaborate with a broad spectrum of stakeholders, including data scientists, marketers, finance, technical expertise
- To plan and monitor the work of Senior Analyst/Programmer, Analyst/Programmer and Programmer
Requirement
- Degree Holder Computer Science, Information System, Statistics, Mathematics, or related disciplines
- Proficient in Python, Spark, Airflow, ETL tools (e.g. DBT, Data Fusion, IBM DataStage, Informatica, etc.) appropriate for large scale data processing, SQL development, Data Mart OR
- Experience in below will be desirable:
- Big data, Cloud technologies and Big Query is an advantage
- Good knowledge in RDBMS, NoSQL is a plus
- Strong leadership, embracing changes, fast learners with ability to work in a collaborative environment
- Good oral and written presentation in English and Chinese. Mandarin is a plus
- Working knowledge in financial sector is an advantage
- Good communication and interpersonal skills.
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