Data Engineer position responsible for designing and implementing scalable processes for ingesting and transforming complex datasets, and supporting data governance and stewardship.
Requirements
- Designs, develops, constructs, maintains and supports data pipelines for ETL from a multitude of sources.
- Creates blueprints for data management systems to centralize, protect, and maintain data sources.
- Ingest large, complex data sets that meet functional and non-functional requirements.
- Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.
- Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data.
- Supports the organisation’s cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices.
- Engineer data in the appropriate formats for downstream customers, risk and product analytics or enterprise applications.
- Assist in identifying, designing and implementing robust process improvement activities to drive efficiency and automation for greater scalability.
- Provide support in the operational environment with all relevant support teams for data services.
- Provide input into the management of demand across the various data streams and use cases.
- Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs.
- Support test and deployment of new services and features.
- Provides technical leadership to junior data engineers in the team.
To apply for this job please visit fa-etvl-saasfaprod1.fa.ocs.oraclecloud.com.

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