Data Engineer-- KUMDC5768358

Top Skills / Overview of the JD Masking data (similar to ETL - more just transformation of data and placing into lower level environment) - effectively creating test data and dev data - masking removes the PII Strong SQL - DB2 systems are being leveraged so IBM Db2 is helpful but any relation DB experience is good (Postgres, MySQL, SQL server, Oracle) - foundational data engineering knowledge - complex sequel - design / schema - relationship and logical nature of data systems- looking for more depth than the Associate level Masking tech is a needed - Delphix being used but there are others (DATPROF, IRI FieldShield, IBM infosphere optim, Informatica Persistent data Masking Gigantics) - any ETL in lieu of masking tech would be beneficial Python, AWS The Expertise and Skills You Bring • Software development experience with a focus on data engineering/analysis. • BS/BA or advanced degree, or equivalent experience preferred. • Strong experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M). • Strong proficiency in Python, with experience developing data pipelines, automation scripts, and reusable data transformation logic. • Experience developing APIs. • Experience working in the cloud preferably AWS. • Experience with Data Masking solutions (Delphix, Optim). • Proficiency with DB2. • Extensive experience in SQL language. • Proven data analysis skills; not afraid to work in a complex data ecosystem. • Knowledge of native stored procedures is a plus. • Efficient in developing data management solutions using RDBMS, Oracle, DB2, Cockroach DB, Postgres. • Experience with data quality frameworks, including automated testing, validation, and monitoring to ensure trusted data. • Any experience in mainframe languages and technologies is a plus. (Cobol, CICS, VSAM, JCL, utilities, FileAid, Endevor, debuggers, schedulers, etc.).