Senior Data Engineer

Success Human Resource Centre Pte Ltd.

Singapore

On-site

SGD 64,995 - 77,852

Full time

14 days+

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Job summary

Success Human Resource Centre Pte Ltd. is looking for a Data Engineer in Singapore. The ideal candidate will identify data structures for efficiency and build scalable data pipelines. With a requirement of at least a Bachelor’s degree and 5 years of relevant experience, this permanent role offers a competitive salary up to $6400. Candidates will work across various locations in Singapore.

Responsibilities include data security implementation and integration of data systems with existing infrastructure.

Qualifications

  • Bachelor’s degree in computer science or equivalent required.
  • Over 5 years of experience in data engineering is essential.
  • Proven experience in building and optimizing data architectures.

Responsibilities

  • Identify suitable data structures based on business needs.
  • Build scalable data pipelines for data integration.
  • Test data pipelines for scalability and reliability.

Skills

Data pipeline development
Data architecture optimization
Stakeholder collaboration

Education

Bachelor’s degree in relevant field

Job description

Job Type: Permanent
Work Hours: Mon – Fri; 8.30am – 6pm
Salary: Up to $6400 + VB
Work Location: Island wide (most likely AMK/Bukit Merah/Science Park)

Responsibilities
  • Identify suitable data structures based on business needs to ensure availability and accessibility of data.
  • Determine technical system requirements based on data needs.
  • Keep abreast of latest technologies and products in database and data processing software, and technologies.
  • Build scalable data pipelines to extract, transform, load and integrate data.
  • Develop codes and scripts to process structured and unstructured data in real-time from a variety of data sources.
  • Test data pipelines for scalability and reliability to process high data volume, variety and velocity.
  • Implement and monitor data security and privacy measures on data solutions.
  • Consolidate and create data storage solutions for storage and retrieval of information.
  • Assist in the integration of data systems with existing infrastructure.
  • Develop tools to improve data flows between internal and/or external systems and the data warehouse.
  • Automate the data collection and analysis processes, data releasing and reporting tools.
  • Test data system configurations to increase efficiency.
Requirements
  • Bachelor’s degree in computer science, Computer Engineering, Information Systems, Information Engineering, or equivalent.
  • At least 5 years of data engineering experience.
  • Experience in building and optimizing data pipelines, architectures, and data sets.
  • Experience working with stakeholders to identify business needs and analytics opportunities.
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