about the company
A technology consultancy driven by collaboration, they empower business growth through modern software development methodologies and cutting-edge solutions. Leveraging top-tier technologies like AWS, Aliyun, Equinix, and Megaport, constantly engineer transformational solutions that redefine how businesses operate.
...
about the 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
- Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
- Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
- Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
- PL/SQL and SQL Tuning and optimization of newly develop and existing applications
skills and experience required
- At least 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
- At least 3 years' working experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.
- Working 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
- Proficiency in one or more of the following: Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig
- Hands-on experience in data crawling, data modeling, data lake formation and data warehouse construction
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Software
Engineering, Database Administration or related Technical major - Related Certificated in developer/data science/database/machine learning will be a plus
To apply online please use the 'apply' function, alternatively you may contact Evangeline.
(EA: 94C3609/ R24124002 )