Data Engineer

Data Engineer job with recognized player in the industrial space. Access to a large volume of data insights.
Your new company
Your new company is a recognized player in the industrial space in search for an experienced Data Engineer with ideally 4+ years of relevant experience.

Your new role
  • Create and maintain multiple robust and high-performance data processing pipeline within Cloud, Private Data Centre and Hybrid data ecosystem
  • Assemble large, complex data sets from a wide variety of data sources
  • Collaborate with Data Scientist, Machine Learning Engineer, Business Analyst and Business users to derive actionable insights and reliable foresights into customer acquisition, operational efficiency and other key business performance metrics
  • Develop, deploy and maintain multiple microservices, rest API and reporting services
  • Design and implement internal processes to automate manual workflow, optimize data delivery and re-designing infrastructure for greater scalability, etc
  • Establish expertise in designing, analyzing and troubleshooting large-scale distributed systems

What you'll need to succeed
  • At least 4+ years of relevant data engineering track record building scalable ETL and pipeline, ideally working within a data science and ML environment
  • Experience building and operating large scale data lake and data warehouse
  • Experience with Spark and Kafka
  • Advance working experience with relational SQL and NoSQL databases, including Hive, Hbase and Postgres
  • Deep understanding in SQL and able to optimize data queries
  • Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets
  • Experience applying modern development principles (Scrum, TDD, continuous integration, and code reviews)

Bonus:
  • Experience with ETL tools such as Talend Big Data, Apache Nifi, etc
  • Experience working with Hortonworks Data Platform or Cloudera Data Platform
  • Experience with Hadoop ecosystem and big data tools, including Spark and Kafka
  • Experience with stream-processing systems including Spark-Streaming

What you'll get in return
Sitting in a talented technical team, you will be involved in exciting projects in the renewable and sustainable energy field leveraging data and AI. This role will also provide the opportunity to access and process a wide variety + large volume data as your playground.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email Yvonne (EA reg no.: R1762899) at yvonne.loh@hays.com.sg. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Hays Registration Number: 200609504D, EA License: 07C3924 #1222345

Summary

Job Type
Permanent
Industry
Energy, Utilities & Mining
Location
Singapore
Specialism
Digital Technology
Ref:
1222345

Talk to a consultant

Talk to Yvonne Loh, the specialist consultant managing this position, located in Singapore
#27-20 UOB Plaza 2, 80 Raffles Place

Telephone: +6563030158

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