KPMG – Data Engineer (posted on 7 December 2017)

Position Type
Post Date
7 December 2017
Closing Date

Employer Description
KPMG is a global network of professional firms providing Audit, Tax and Advisory services. With 189,000 people operating in 152 countries around the world, we have outstanding professionals working together to provide value to local and global organisations. Committed to excellence, we are proud to be a recognised Employer of Choice in Singapore.

Program Details
  • To build robust batch and streaming data pipelines for production-grade data products/platforms 
  • To create web services or APIs to connect analytical stacks to application layers 
  • To build and maintain both cloud and on-premise data infrastructure" 
    • Bachelors or Masters in Computer Science, Computer Engineering, Information Systems, or similar IT related courses
    •   Minimum 2 years of experience in ETL, data pipeline building, and data warehousing
    •   Proficient in designing efficient and robust data integration workflows
    •   Advanced understanding of database principles, security, and administration
    •   Familiar with SQL, dimensional modelling, data warehousing, and data integration
    •   Familiar with system architecture design and analysis
    •   Competent in software engineering and agile development
    •   Comfortable with creation of web services using Java or Python
    •   Proficient with data visualisation tools and languages such as Tableau and D3.js
    •   Familiar with statistical programming languages, distributed computing concepts, frameworks, and products
    •   Able to implement and maintain components of big data technologies for both exploratory and production data science platforms
    •   Strong problem solving skills, curiosity and passion for technology
    •   Strong co-ordination and time management skills to handle complex projects
    •   Prior experience with Hadoop, HBase, Hive, and Map/Reduce or Spark
    •   Knowledge and interest in data mining, machine learning, natural language processing, or information retrieval
    •   Prior exposure to NoSQL or NewSQL databases
    •   Familiarity with Hadoop, Spark, Airflow
    •   Knowledge of languages like C++ and Scala


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