senior data engineer – etl development in Singapore

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job details

posted
location
singapore
specialism
information technology
job type
permanent
salary
S$ 6,000 - S$ 9,000 per month
reference number
90M0347923_1528093558
contact
eshita gupta, randstad
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job description

about the company

Our client is an insurance provider committed to providing user-friendly digital development across web and mobile applications. They are located centrally within Singapore and place a high emphasis on data driven solutions for their users across the region.


about the job

As the senior data engineer, you will contribute to:

  • Design, development and implementation of end to end data pipelines
  • Recommend and implement new ways to improve data reliability, data efficient and data quality
  • Collaborate with the data architect, data modellers and backend engineers for product goals
  • Show proficiency in design and completion of end to end ETL processes to support the Data Lake projects


about the manager/team

You will report to the Head of Data present onsite. Their team consists of engineers specializing in data science, data modeling and backend engineers.

skills and experience required

To be shortlisted for an interview you will ideally have:

  • Minimum 3 years of experience in design and development of ETL processes
  • Hands-on experience in building data lake / big data ecosystem
  • Technical expertise in Spark / Scala / Python
  • Good skills in SQL and AWS Architecture
  • Proven efficiency in handling and processing different types of data
  • Experience with data analysis and data mining using R, Qlik and other analytics tools will be highly advantageous
  • Degree in IT or Computer Science

This is a great opportunity for you to hone for data engineering skills while working in a stable consumer driven product environment. You will work within a team of passionate engineers keen to deliver the reliable and scalable product. Annual budget up to 100k per annum.

To apply online please use the 'apply' function, alternatively you may contact Eshita Gupta at 65103660.

EA(94C3609/ R1435910)



skills

Data Engineer, ETL, Data Pipeline, Data Lake, SQL, Big data, Spark, Python, Scala, Data reliability and efficiency

qualification

-Minimum 3 years of experience in design and development of ETL processes
-Hands-on experience in building data lake / big data ecosystem
-Technical expertise in Spark / Scala / Python

responsibilities

•Design, development and implementation of end to end data pipelines
•Recommend and implement new ways to improve data reliability, data efficient and data quality
•Show proficiency in design and completion of end to end ETL processes to support the Data Lake projects

educational requirements

Bachelor Degree