Senior Data Engineer (Financial Services, Up to 75k)
Salary Good bonus
Location Hong KongFULL_TIME
Consultant Wendy Fung
Date posted 05 July 2022hong-kong tech-transformation/data-analysis-warehousing 2022-07-05 2022-09-03 it Hong Kong HK Robert Walters https://www.robertwalters.com.hk https://www.robertwalters.com.hk/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png
The hiring company is looking for data engineering talents with strong business acumen to join their expanding team.
- Design and implement data lake and BI models, dashboards and MIS report
- Implement data ingestion, data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes
- Manage communications with Business and IT stakeholders and perform business analysis, gather user requirements and translate business needs into data solution
- Contribute to data landscape modernization architectures and roadmaps
- Contribute to quality standards for data assets, coordinating cross-business unit data collection and storage
- Minimum 7 years of IT experiences and at least 3 years experiences on related disciplines
- BSc in Computer Science, Information System or equivalent quantitative field
- Comprehensive hands-on experiences on data lake and dashboard development on Hortonworks framework and Microsoft Power BI visualization.
- Solid working experiences on Azure Cloud, Azure Database and Power BI Report server
- Practical experience on data lake, warehouse and BI data modeling, ETL programing and big data processing, such as NiFi, Kafka, Spark, Hive, Hadoop, etc.
- Sound knowledge of enterprise data architectures and data design methodologies
- Knowledge of ETL tools and other big data processing frameworks, such as HDFS, MapReduce, Stream processing, etc.
- Knowledge of non-relational (Cassandra, MongoDB) databases
- Understanding of relational and warehousing database technology working with at least one of the major databases platforms (e.g., Oracle, SQLServer, or Postgres)
- Strong understanding on business and knowledge of financial services. Insurance industry knowledge and experience is desired.
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