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Data QA Engineer

VST Consulting

 

San Francisco, CA, USA

Posted On: 4 days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Data QA
Tenure: No Preference/Any
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Description

Lead and execute QA engagements for enterprise EDW and DWH environments, owning test automation frameworks and hands-on testing across Big Data stacks.

This role is on-site.

Responsibilities

  • Lead enterprise-level EDW and DWH QA engagements from planning to execution.
  • Develop and maintain robust test automation frameworks for data pipelines.
  • Execute functional and integration testing across Azure, Databricks, and Confluent Kafka.
  • Validate data integrity and performance within Big Data technology stacks.

Required Skills

  • 5+ years of hands-on testing experience in data engineering or QA.
  • Expertise in Big Data technologies and distributed systems.
  • Proven experience with the Azure cloud platform.
  • Hands-on experience with Databricks.
  • Experience testing Confluent Kafka pipelines.
  • Strong ability to create and maintain test automation frameworks.

Preferred Skills

  • Bachelor's degree or equivalent graduate qualification.

Education

Any Graduate

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