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AWS Data Engineer & Data Testing

Sequoia Connect
Full-time
Remote

Our Client is a leading Modernization and digital engineering Company. Our Client provides modernization services using its proprietary Platformationβ„’ approach. It specializes in cloud and data modernization, Microsoft Dynamics Modernization, Digital contact center setup and management, managed cloud services, and digital transformation services.

Founded in 1986, the company has since grown to have a presence in North America, Europe, and Asia-Pacific. Our Client has partnerships with leading technology providers such as Microsoft, Amazon, and Google, among others, and has received several awards and recognition for its services.

Focusing on innovation and customer-centricity, Our Client aims to help businesses accelerate their modernization and digital transformation journeys. The Group operates in key industries that drive economic growth, enjoying leadership in the construction, financial, and technology industries.

We are currently searching for an AWS Data Engineer & Data testing

Responsibilities:

  • Develop and implement test automation frameworks and tools to ensure software quality.
  • Perform API testing and data validation.
  • Work closely with Master Data Management (MDM) processes, focusing on data modeling, data quality, and data governance.
  • Use Python/Java to automate test cases for MDM and customer preference data.
  • Collaborate with teams to ensure data privacy and security, meeting regulatory requirements (e.g., GDPR, CCPA).
  • Conduct testing for integrations with customer preference platforms and perform performance/load testing.

Requirements:

  • Minimum 5+ years of experience as ETL, SQL.
  • Experience in DATA SDET.
  • Proficiency in Python/Java programming.
  • Strong experience with test automation frameworks and tools.
  • In-depth knowledge of MDM concepts and familiarity with data governance.
  • Experience with AWS services (e.g., Glue, Lambda, Kinesis, SQS) and SQL.
  • Hands-on experience with API testing and data validation.


Languages:

  • Advanced Oral English.
  • Native Spanish.


  • Note Remote

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