We are seeking a highly skilled and motivated Data Engineer responsible for supporting the Credit Union and Data & Analytics with efficient data solutions that are dynamic and automated. This role will take part in designing, creating and maintaining a framework for importing and transforming data into tables to be used by our analysts for strategic insights. This role will be creating and scheduling and triggering data pipelines, ETL processes and automated validation/alerting of these processes. AI LLM models are encouraged to be utilized for researching, creating and maintaining ETL data routines when possible. This role will be building, maintaining, and documenting the framework for how data solutions such as API connections, database tables & csv extracts flow into the data warehosue for Data Integration projects.
This role will be using Snowflake tools such as Snowpipe, SnowSQL. Openflow, Native SDK for Connectors, & CLI. Currently using Microsoft’s Azure Data Factory for connecting to network sources as well as reviewing other tools. Languages utilized include Python, some Java and heavy SQL for querying and transforming data as well.
Bachelor’s degree in Computer Science, Mathematics, Business, or equivalent experience and a minimum of two years of related experience in a financial institution.
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