Data Engineer

• Conduct analysis to understand the E2E data flow of the product.
• Liaise with Product owner to ensure the prioritization is set.
• Undertake assessment of data risks and existing controls that mitigate these risks and generate data quality assessment.
• Engage with stakeholders to understand their business and use the data management framework to identify critical data elements (CDEs) and capture sufficient metadata and to identify rules for data quality measurement and develop thresholds.
• Undertake identification of detailed data flow & lineage from point of data capture to point of data consumptions.
• Independently manage the work stream and the relationship with stakeholders with escalation to Line Manager as necessary.
• Contribute to improvement of data literacy, data management and data quality.

Essential Skills:

• 5-7 years of experience.

• Understanding of Data Warehouse/ETL concept
• Experience writing high quality, maintainable SQL, Stored procedures on large datasets - Specifically T-SQL. Experience in writing stored procedures in Snowflake
• Experience in ELT tool such as DBT.
• Knowledge in SSRS or equivalent reporting tool; Python, Power BI - Good to have.
• A good understanding of data sourcing for analytical needs through multiple tactical and strategic data sources and supporting the data strategy of the bank.
• Implementing pipelines which deals with any format of data using CI/CD.
• Strong analytical, numerate and logical reasoning skills with attention to detail. Ability to articulate complex analytical requirements and findings in common non-technical terms.
• Flexible approach and able to deal with change and develop new ways of working to drive continuous improvement.
• Performance tuning and coding optimization techniques.

Education Qualification: Bachelor s degree/Master s degree in Engineering in Computer Science/Information Technology.