About the Role :

A "Senior Data Engineer" is mid-level professional leading the design, build and evolution of the inhouse data platforms. You lead the construction of datasets requested by various stakeholders, the build and maintenance of the resulting data pipelines.

Design :

- Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced Analytics datasets based on your stakeholders' requirements

- Design data pipelines to curate sourced data into the inhouse data warehouse

- Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders

- Design data model changes that align with the inhouse data warehouse standards

- Define migration execution activities to move data from existing database solutions to the inhouse data warehouse

Engineer :

- Regular housekeeping of raw data and data stored in the inhouse data warehouse

- Build and maintenance of data pipelines and data platforms

- Build data solution prototypes

- Explore ways to enhance data quality and reliability

- Identify and realize opportunities to acquire better data (raw data)

- Develop analytical tooling to better support BI and Advanced Data Analytics activities

- Execute data migration from existing databases to the inhouse data warehouse

- Promote and champion data engineering standards and best-in-class methodology