Data Engineer
3 days ago
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
Skills required
- Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or related quantitative discipline
- AWS Certified Data Engineer – Associate
- Snowflake SnowPro Core Certification
- 4+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry
- Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, SAFe, SCRUM, etc.
- Strong understanding of ETL, data warehouse and BI and Advanced Data Analytics concepts
- Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.
- Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL
- Strong programming skills with advanced knowledge of Java and/or Python
- Experience in building data models
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