data engineer (sql) in Singapore

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job details

posted
location
singapore
specialism
information technology
job type
permanent
salary
S$ 5,000 - S$ 7,000 per month
reference number
90M0347923_1526889871
contact
eshita gupta, randstad
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job description

about the company

Our is a leading healthcare technology looking to expand their presence in Southeast Asia given their success in North America. They are a data-driven solutions provider working towards B2B and B2C products.

about the job

As the data engineer, this role will be responsible for their analytics infrastructure and turning their 250GB of weekly data into insights. Daily tasks include:

  • Maintain and improve their data warehousing systems
  • Implementation of practical machine learning solutions
  • Selecting and integrating any Big Data tools
  • Querying and writing to databases

about the manager/team

You will report to the Head of Data and work with a team of 3-5 Data Engineers. Their current data stack is: Redshift / PostgreSQL, Airflow, Python & Tableau

skills and Experience required

To be shortlisted for an interview you will ideally have:

  • Minimum 2 years of work experience in software engineer / data engineering
  • Work experience in large scale datasets
  • SQL coding expertise
  • Understanding of some BI tools (Tableau, Qlikview, etc)
  • Proficiency in Python is advantageous
  • Past experience in creating a REST API that handle a production load

This is a great opportunity to work in a challenging technical environment with a team of data experts. This is a permanent role with a product based company that allows you to see first-hand the results of your hard work and effort. Remuneration upto 90k per annum.

To apply online please use the 'apply' function, alternatively you may contact Eshita Gupta at 65103660 or email your CV to eshita.gupta(@)randstad.com.sg

EA(94C3609/ R1435910)



skills

Data Engineer, Data Engineering, ETL, Big Data, SQL, Python, Data Analyst, Analytics, Data insights

qualification

As the data engineer, this role will be responsible for their analytics infrastructure and turning their 250GB of weekly data into insights.

responsibilities

As the data engineer, this role will be responsible for their analytics infrastructure and turning their 250GB of weekly data into insights. Daily tasks include:
•Maintain and improve their data warehousing systems
•Implementation of practical machine learning solutions
•Selecting and integrating any Big Data tools
•Querying and writing to databases

educational requirements

Bachelor Degree