Build & operationalize complex IT data solutions, correct problems, apply transformations, & recommend data cleansing/quality solutions. Design complex IT data solutions. Analyze complex sources to determine value/use & recommend data for analytical processes. Test data movement, transformation code & data components.
Requirements: Bachelor's degree/equivalent + 6 years programming experience as Engineer or related working with Data. In the alternative, master's degree/equivalent + 4 years experience as Engineer or related working with Data acceptable.
Requirements 4 years experience with: Python, PySpark, Scala, or SQL; relational & NoSQL databases (i.e. Teradata, Snowflake, PostgreSQL, DB2, Oracle, DynamoDB, MongoDB); modern software engineering practices (Cloud/Big Data, Analytics, Parsing, Requirements, Data Engineering); Databricks & AWS (hybrid environments); & Business Insurance data & data products.
Requirements: demonstrable experience with: Insurance data concepts (premium, losses, insurable objects, coverages) for Actuarial/Analytics; building robust data pipelines & working with large-scale datasets; & translating data/AI vision into objectives, roadmaps & deliverables.
Application Instructions: Send resume to [email protected] & reference Job Code M082026N.
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