DPE – Data Engineer (SSC)

Location Shah Alam
Discipline Business Transformation
Job reference 171982
Salary 10000.0
Consultant name Joseph Kirupakaran Andrew Isaac
Contact email [email protected]
Contact no. 03-20870000
Contact name Joseph Kirupakaran Andrew Isaac
Contact email [email protected]
Contact no. 03-20870000
Data Engineer (SSC)

Primary Objectives & Responsibilities    
This role is responsible for working with the Business stakeholders to solve their data accessibility challenges and promoting the use of data throughout DPE to enable data driven decision making.
Creating and managing the data pipelines that are accurate, efficient, aligned to Data standards and best practices for data engineering.

  • Work with the Data Engineering Team Lead to provide solutions that address project requirements.
  • Ensure development work adheres to Data standards and best practices.
  • Ensure production processes, data feeds, pipelines function correctly as required by the business.
  • Ensure system performance and capacity are managed appropriately.
  • Understand Data Compliance requirements and ensure data pipelines and models are adhering to the requirements.
  • Create and maintain documentation as required.
  • Work with the Operations team to ensure appropriate level of detail is provided for releases and adhere to change control processes.
  • Support the team (Dev and Ops) when required.
  • Appropriate time sheet logging against project work

Key Relationships Internal    
  • This role works with all levels of corporate services, across all Markets (ANZ, Europe and Asia) and across all departments including Marketing, Finance, Ops, Technology etc.

Key Relationships External    
  • Technology & Data Partners

Key Result Areas    
  • Ensure the projects are delivered on time and within budget.
  • Ensure the quality of work and data is maintained during the project.
  • Provide timely updates to team leads on projects.
  • Enhancing skill set.

Experience & Skills required:    
  • 5+ years’ experience with T-SQL.
  • Strong experience in creating data pipelines including inbound/outbound feeds and data transformation.
  • Strong data modelling including Data Warehouse modelling.
  • Power BI & modelling.
  • Good communication skills