Experienced Data Warehouse Tester/Developer with expertise in Databricks, PySpark, and SQL. This role requires a strong understanding of data marts and data warehouse concepts, with a quality engineering mindset for resolving complex problems in a repeatable, scalable, and sustainable way. The position involves creating source-to-target comparison test cases in SQL, developing test plans, test cases, traceability matrices, and closure reports. Proficiency in PySpark, Python, GitHub, JIRA, JTMF, Agile Kanban, Scrum, Azure Data Bricks, Data Factory, and DevOps is essential. Experience with Mainframe EBCDIC and COBOL Copybooks, automation tools (Tosca BIDI, Autosys), ETL, Excel Macros, and Informatica is also required. Microsoft certifications such as AZ-900, DP-900, and DP-203 are highly desirable.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed