Data Engineer at a Singapore software consultancy serving gaming, gambling, blockchain and government clients. Day to day: build data architectures, pipelines and warehouses, clean and organize data, and tune Oracle SQL/PLSQL using Python, AWS (EC2, S3, EMR, Redshift, Athena, Kinesis) and Kubernetes-based DevOps. Hybrid role, CBD office.
about company
I am currently working with a software consultancy firm that provides premium software development and strategy expertise to a wide spectrum of clients. Projects are about Gaming/Gambling/Blockchain/Government Project.
Salary structure: Base + AWS + variable bonus. 2 rounds of interview process. Hybrid working arrangement. Office at CBD.
about job
* Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
* Design and develop data pipelines/systems for data modelling, mining and production
* Make raw data clean and highly available for use in descriptive and predictive modelling
* Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
* Ensure data assets and data catalogs are organized and stored in an efficient way
* PL/SQL and SQL Tuning and optimization
skills and requirements
* Min 3 years in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions
* Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.
* Experience in database development (Oracle SQL/PLSQL)
* Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis * Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation
* Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)