Data Warehouse Tester / Developer

Job Category: Contract Onsite
Job Type: Full Time
Job Location: Mount Laurel NJ
Duration: 6 Months

Role Descriptions:

  • Experienced Data Warehouse Tester Developer Databricks| PySpark and SQL 
  • 5 years data warehouse testing or developer experience|
  • 2 years of Azure Cloud experience.        
  • Strong understanding of data marts and data warehouse concepts              
  • Quality Engineering mindset with experience resolving complex problems in a repeatable| scalable and sustainable way
  • Expert in SQL with the ability to create source-to-target comparison test cases in SQL 
  • Creation of test plans| test cases| traceability matrix| closure reports   
  • Proficient with PySpark| Python| GitHub| JIRA| JTMF Agile Kanban and Scrum         
  • Azure Data Bricks| Data Factory| DevOps     Mainframe EBCDIC and COBOL Copybooks            
  • Automation tools (Tosca BIDI| Autosys)| ETL| Excel Macros| Informatica      
  • Microsoft Certified AZ-900 Azure Fundamentals| DP-900 Azure Data Fundamentals| DP-203 Azure Data Engineer Associate

Essential Skills:

  • Datawarehouse| Databricks| PySpark| informatica and SQL

Desirable Skills:

  • Implement procedures to maintain| monitor| backup and recover operations for ETL environment.
  • Report regularly on health and performance of ETL environment and jobs.
  • Conduct ETL optimization| troubleshooting and debugging.
  • Maintain ownership of release activities interacting with ETL projects.
  • Perform import and export ETL jobs across various ETL projects and servers.
  • Provide development support to ETL application development teams.
  • Establish projects| roles| users| privileges in different ETL environments (DEV| QA| PROD).
  • Perform and assume other duties and responsibilities as required at direction of management.
  • Perform administration of IBM Database and ETL tool.
  • Collaborate with US data warehouse and ETL developers to implement ETL solutions.
  • Establish ETL admin as part of team responsible for building out and maintaining US data warehouse.
  • Record and maintain ETL software and operational procedures.
  • Perform independently with little direct supervision in administration of ETL.
  • Provide detailed analysis of problems and recommend solutions.
  • Conduct troubleshooting production and ETL job issues.

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