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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