Data Engineer III designing, developing, and optimizing cloud-based data pipelines for SNC. Collaborating with stakeholders to implement data integration and management processes across the organization.
Responsibilities
Collaborate with stakeholders, business systems analysts, and other project team members to understand their functional and non-functional data requirements and design data models that meet those needs.
Develop and maintain data dictionaries, data lineage, and other metadata artifacts to ensure that data is well-governed, accurate and supports authoritative data sourcing.
Document and model existing ETL processes to provide insight into current data integrations, areas of opportunity to consolidate or streamline, and/or removing redundancies.
Support and help define the data strategy and cleansing activities for AI initiatives.
Design, build, and maintain RPAs for data ingestion that are scalable and efficient to bolster accuracy in QA and system testing.
Partner with program management office and business systems analysts to support the elicitation and cultivation of business needs to translate into detailed requirements documentation; focus will be on the data aspects of the needs to support successful delivery of projects including managing the transition to sustainment.
Requirements
Bachelor's Degree in a related field with at least 6 years of relevant experience
Higher education may substitute for relevant experience
Relevant experience may be considered in lieu of required education
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and familiarity with a variety of databases
Experience with AWS cloud services: S3, Redshift, Glue
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on data to answer specific business questions or issues
Experience with object-oriented scripting languages and frameworks: Python
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