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QA Engineer / ETL Tester

Descripción del Cliente: Nuestro cliente es una compañía del Furtune 50 ubicado en Cincinnati, Ohio

Ubicación del Cliente: Estados Unidos

Trabajo desde: Casa / Remoto

Para este rol debes tener las siguientes habilidades técnicas, blandas y experiencia:

  • Experiencia liderando equipos

  • Buen nivel de inglés

  • Habilidades de comunicación

  • Conocimiento de primera mano con pruebas de datos y ETL

  • Informática, SQL, Python

  • Tecnologías Cloud – Azure

  • Marcos de trabajo Agiles (Scrum)

Job Description:

Fortune 50 retailer based out of Cincinnati, Ohio in search of a talented Quality Engineer with a heavy focus in ETL testing. This role will be hands-on position primarily focusing on understanding ETL test requirements and performing all facets of data testing. Create and execute test plans & scripts that will validate the projects data quality and data integrity as the data is transitioned through the ETL data warehouse

process. Create test data to exercise data validations and test the compliance of information flows and data stores against data quality standards

  • Experience in Data Testing, Data Conversion, Data Migration, Data Transformations, Data Profiling, Data Analysis and Data Quality Validation

  • Experience in testing of ETL Mappings to extract data from multiple sources like Oracle, SQL Server, Flat files etc.into target tables using transformations.

  • Hands on experience in design and implementation of E2E Data testing strategies and developing data testing automation frameworks.

  • Work on End-to-End product feature testing and Business Report Testing. Designing, testing, and troubleshooting data and reports.

  • Knowledge of any of database systems like SQL Server, Oracle or db2 etc and experience writing complex queries and creating stored procedures

  • Good understanding or knowledge in Azure Cloud, ADF.

  • Good exposure to Python, Pyspark, Databricks notebook.

  • Interact with project teams, development, operations, and infrastructure resources to recommend solutions to remediate data issues.

  • Experience in defect life cycle management - logging, replication, triaging, verification, closing, metrics reporting, etc.

  • Demonstrated ability to acquire high volumes of test data required to support Test execution.

  • Good understanding of Agile methodology.

  • Experience in test environment and test data management

  • Strong communication and collaboration skills , to challenge the norm


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