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The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data-driven decision making. The role involves developing scalable data solutions, aligning with architectural visions, and addressing risks in the data supply chain. Expertise in data modeling, relational databases, and cloud-native technologies is essential.
Job Responsibility:
Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models
Requirements:
First Class Degree in Engineering/Technology (4-year graduate course)
9 to 11 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
Passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
An inclination to mentor
Ability to lead and deliver medium sized components independently
Nice to have:
Experience developing Co>Op graphs
knowledge of Ab Initio toolsets
Good exposure to public cloud data platforms
Experience with data validation, cleansing, enrichment and data controls
Understanding of containerization platforms like Docker and Kubernetes
Familiarity with event or file formats such as Avro, Parquet, Protobuf, Iceberg, and Delta
Experience of using a job scheduler, e.g., Autosys
Exposure to Business Intelligence tools, e.g., Tableau, Power BI
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