Dodge Construction Network

Data Quality Engineering Lead

Dodge Construction Network
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2 months ago
Kochi, IndiaStaff+

Responsibilities

  • Design, implement, and maintain scalable data quality automation.
  • Implement test reporting, analytics solutions, and custom dashboards to surface quality insights.
  • Use AWS services including CodePipeline, CodeBuild, ECS, Lambda, S3, and CloudWatch Synthetics for quality engineering.
  • Integrate automated test suites into CI/CD pipelines using Jenkins, Bitbucket Pipelines, or AWS CodePipeline.
  • Define and govern quality strategy, test standards, tooling selection, and metrics frameworks across multiple product teams.
  • Lead and mentor QA engineers and SDETs across automated, manual, and exploratory testing.
  • Track and present quality KPIs including defect escape rate, test coverage, MTTR, and automation ROI to senior stakeholders.

Requirements

  • Bachelor’s degree in a related field or equivalent education and work experience.
  • 7+ years of experience in software and quality engineering, including at least 3 years leading data quality engineering.
  • Proven experience automating and measuring data quality assurance in production environments.
  • Proficiency in SQL, Python or R, and Git.
  • Experience developing QA automation on AWS or equivalent cloud platforms.
  • Preferred experience using AI development tools.
  • Preferred proficiency in Apache Spark and PySpark.
  • Preferred experience with Great Expectations or Deequ and familiarity with Jenkins.

Benefits

  • Full-time position with a hybrid work arrangement.
  • Candidates should be based in or near Kochi and able to work from the Kochi office.
  • Reports directly to the VP of Engineering.

Tech Stack

Categories

Dodge Construction Network

About Dodge Construction Network

501-1,000 employees

Dodge Construction Network builds subscription platforms that deliver commercial construction project data, analytics, and forecasting, plus tools to find work and manage relationships for contractors, manufacturers, and AEC firms. Its products combine proprietary project leads, market intelligence, and integrations with CRM/BI systems to support business development and planning. The company traces its roots to 1891 and operates as a privately held business.

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