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Senior Executive, Data Engineer

Salary undisclosed

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Job Purpose

Assist the Team Lead (Analytics) to ensure Analytics and Digital Transformation solutions are promptly delivered.

Data Warehousing & Data Integration

  • Execute tasks to analyze business requirements, conduct research and implement data warehouse solutions.
  • Design, test and develop feasible data warehouse data structures and data transformation pipelines to ingest data from various source systems to the final data model.
  • Provide support to project team members / external vendors by providing expertise in matters related to Data Integration and Data Warehousing.
  • Maintain and support existing and future Data Warehouse solutions.
  • Assist in evaluation of new solutions (if any).

Analytics & Dashboard

  • Assist in understanding and devising analytics / dashboard solutions to address business problems.
  • Provide expertise in terms of designing, prototyping and revamping analytics solutions to drive business user acceptance of proposed solution.
  • Deploy and maintain analytics solutions.

Data Warehouse & Analytics

  • Participate in full development lifecycle from system design, development, testing and production implementation of analytics solutions (System Integration, Data Warehouse, BI Dashboards).
  • Assist in design, development and maintenance of analytics solutions.
  • Identifies, researches, and resolves easy to medium technical problems.
  • Assist in establishing standard operation procedures, policies and best practices for the development and implementation of analytics solutions.
  • Assist in identifying intelligence needs of each department through close engagement and communications with key department users.

Application Support

  • Enterprise Data Warehouse technology stack - Azure Data Factory, Azure Databricks, Azure Data Warehouse
  • Other integration technologies – Azure Logic Apps, Python Programming.

People & Communication Management

  • Participate in group sessions and other team activities.
  • Work together in communication within Digital Transformation, IT teams and external vendors to collate in getting related initiatives across.

Education/ Professional Qualification

  • Bachelor's or Master's degree in IT, Information Systems, Computer Science, Statistics, Business Information Technology, or equivalent work experience.
  • Professional qualification in Information Systems Engineering, Data Engineering, Business Intelligence and/or Data Warehousing is desirable. Proficient / experienced in relational database and OLAP concepts.

Professional Experience

  • Minimum of 2-years relevant Technical Experience required:
  • Experience with Data Warehousing concepts.
  • Experience with developing, maintaining and supporting ETL solutions using Azure Databricks / Azure Data Factory / Azure Synapse or other equivalent cloud / on-premise technology stacks. Experience with Data Warehouse modelling.
  • Interest / exposure to the property industry is an added advantage.

Relevant Certification:

  • Microsoft Data Engineering certifications.
  • ETL related certifications.
  • Data Warehousing related certifications.
  • Other Microsoft cloud-related certifications. .
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