Job description

Data Engineer Responsibilities


Create and maintain test deliverables and artifacts (test plans, test cases, test results summary) to test complex applications and system integrations for Finance (Oracle EBS, Mulesoft and integrated SaaS) applications.

Database systems, Data Pipeline Orchestration, Programing languages (ex.: python, java), Data Modeling & ETL, Cloud Platforms, Data Quality & Governance, Monitoring & Logging Tools, Data Modeling, ETL (Extract, Transform, Load), Database Management, Data Quality & Governance, Data Warehousing, Programming Skills, Problem-solving and analytical thinking

Continuous learning and adaptability

Cloud Platforms

Good Hands on experience on Informatica IICS, Snowflake, Airflow, Python scripting skills will be a plus

Defect Management and QA status reporting

Required skills in PL/SQL, Mulesoft/API based integration testing, QTC domain experience

Assist during UAT and Cutover

5+ years experience in Software development and/or quality engineering in packaged finance applications including Zuora revenue and Sabrix tax engine

Identify/set up test data, execute test cases, update test management tool and report

Defects, Perform regression testing to validate the resolution of any software or testing defects & Automation

Create defect reports for problems discovered during testing with steps, screenshots and datasheet record

Data engineer resource to work on building data pipelines between 3rd party systems and our Data360 platform (Snowflake)

Education: Bachelors Degree

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