• Location: Singapore
  • Salary: S$5000 - S$6500 per month
  • Technology: Java Jobs
  • Job Type: Permanent
  • Date Posted: 23rd Dec, 2019
  • Reference: 200053
The Client

* My client is one of the fastest growing IT Consultancy Firm here in Singapore. As part of its ongoing commitment to grow the business, they are now sourcing for an Data Engineer to join their A-Team & spearhead the project. The successful candidate can look forward to a rewarding career with a comprehensive remuneration package. To build & deliver cutting-edge applications to their clients.


Your core responsibility of this role :

* 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
* Discover opportunities for data acquisition from primary and secondary data sources
* Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve

Successful Applicants

The ideal candidate should have the following attributes:

* Bachelor's or Master's degree in Computer Science, Computer Engineering or Information Systems
* At least 2 years' working experience in data architecture, data warehousing and ETL/ELT
* At least 2 years' working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis
* Advanced programming knowledge in Java, Hadoop, Apache Spark, Scala, Hive, Pig
* Hands-on experience in data crawling, data modeling, data lake formation and data warehouse construction
* Hands-on experience in collecting and massaging structured/unstructured/semi-structured data
* Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation
* Experience in data pipeline design, implementation, ETL/ELT scheduling and performance optimization
* In-depth knowledge in MPP, partition, parallel computing techniques
* Ability to build thorough algorithms and deploy machine learning & statistical models will be a plus
* Excellent verbal and written communications in English and Chinese
* Excellent time management skills

Actions to take

* To apply for this position, please send your updated CV to me, Sarah Yang at s.yang@pearsonfrank.com. We regret that only successful shortlisted applicants will be contracted.
* EA License Number: 11C3017
* EA Personnel Number: R1768390

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