Data Engineer

3 weeks ago


Singapore RANDSTAD PTE. LIMITED Full time
Roles & Responsibilities

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

  • Minimum of 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
  • Minimum of 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 )


Tell employers what skills you have

Apache Spark
Scala
Oracle
Data Modeling
Pipelines
Hadoop
Software Engineering
EMR
SQL
Python
Data Architecture
Java
Data Analytics
Apache
Data Warehousing
Databases
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