Data Engineer with Data Pipeline Expertise

7 days ago


Singapore NSEARCH GLOBAL PTE. LTD. Full time
Job Description:

We are seeking a skilled Data Engineer to join our team at NSEARCH GLOBAL PTE. LTD. as part of Asia-Pacific's leading organizations.

About the Role:

This is an exciting opportunity for a Junior Data Engineer to work on designing, building, launching, and maintaining efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks. The ideal candidate will have a strong interest in being the bridge between engineering and analytics, knowledge about system design, data structure, and algorithms, and experience working with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse.

The successful candidate will be responsible for collaborating with Project Manager, Visualisation Developer, Data Scientist, UX Designers, and Data Analyst to build scalable data-driven products, working in an Agile Environment that practices Continuous Integration and Delivery, supporting and advising best practices in data management standards, policies, and procedures, and working closely with fellow developers through pair programming and code review process.

Key Responsibilities:
  • Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
  • Collaborate with Project Manager, Visualisation Developer, Data Scientist, UX Designers, and Data Analyst to build scalable data-driven products.
  • Work in an Agile Environment that practices Continuous Integration and Delivery.
  • Support and advise best practices in data management standards, policies, and procedures.

Requirements:

The ideal candidate will have:

  • A strong interest in being the bridge between engineering and analytics.
  • Knowledge about system design, data structure, and algorithms.
  • Experience working with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse.
  • Good general data cleaning and transformation skills (e.g., SQL, pandas, R, etc), and AWS experience.
  • Good processing data from open-standard file format or data interchange format (e.g., XML, JSON) skills.
  • Good ETL pipeline building skills (e.g., Talend Data Integration, Informatica PowerCenter, IBM DataStage, SAS Data Integration).
  • Good database design and various databases (e.g., MS SQL Server, Oracle RDBMS, IBM DB2, Postgres etc) skills.
  • Comfortable in at least one scripting language (e.g., Python).

Salary:
$80,000 - $120,000 per annum

Benefits:
Opportunities for career growth and development, competitive salary and benefits package, and collaborative and dynamic work environment.

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