Data Engineer

Working Hours: Monday - Friday (10am – 7pm)
Working Location: Central
Salary Package: Up to $7,000 (with VB and AWS)

We are looking for Data Engineer to join our team of analytics experts.
The hire will be responsible for expanding and optimising data and data pipeline architecture, as well as optimising data flow and collect for cross - functional teams.

Key Responsibilities:

• 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
• 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 so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements

• Minimum 3 years' working experience 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.
• 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
• Basic knowledge of Oracle database architecture

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Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781