Dodge Construction Network

Data Quality Engineering Lead

Kochi, Kerala, India · Work style not stated · Full-time

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About the role

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EmployerDodge Construction Network
LocationKochi, Kerala, India
Work styleWork style not stated
Employment typeFull-time
Employer posted14 Aug 2026

Dodge Construction Network (Dodge) is looking for an experienced Data Quality Engineering Lead to ensure the master data content quality and develop systems that continue to improve the quality of the data content. This role requires the ability to define and govern quality strategy to better serve our customers. The ideal candidate bridges the gap between engineering and quality, embedding testing excellence throughout the software development lifecycle.

This is a full-time position and reports directly to the VP, Engineering.

Preferred Location

Qualified candidates should be based in or near Kochi and able to work from our Kochi office as part of a hybrid schedule.

Essential Functions 

Test Automation Architecture 

Design, implement and maintain scalable, maintainable data quality automation
Implement test reporting and analytics solutions, or custom dashboards to surface quality insights

Show full description

Cloud, DevOps & CI/CD Integration 

Utilize AWS services relevant to quality engineering, including CodePipeline, CodeBuild, ECS, Lambda, S3, and CloudWatch Synthetics
Integrate automated test suites into CI/CD pipelines using Jenkins, BitBucket pipelines, or AWS CodePipeline

Leadership & Quality Strategy 

Define and govern a quality strategy across multiple product teams, including test standards, tooling selection, and metrics frameworks
Lead and mentor QA engineers and SDETs across automated, manual, and exploratory testing disciplines
Track and present quality KPIs — including defect escape rate, test coverage, MTTR, and automation ROI — to senior stakeholder

Education Requirement

Bachelor’s degree in a related field or equivalent education and work experience.

Required Experience, Knowledge and Skills

7+ years of experience in software and quality engineering, with at least 3 years leading data quality engineering
Proven track record automating and measuring data quality assurance in production environments
Proficient in SQL
Proficient in Python or R
Proficient with Git for source control
Experience developing QA automation on AWS or equivalent cloud platforms
Preferred Experience, Knowledge and Skills
Experience using AI development tools
Proficient in Apache Spark (pyspark)

Preferred Experience, Knowledge and Skills 

Experience using AI development tools.
Proficient in Apache Spark (pyspark)
Experience with data quality frameworks Great Expectations or Deequ
Familiarity with Jenkins

About Dodge Construction Network 

Dodge Construction Network exists to deliver the comprehensive data and connections the construction industry needs to build thriving communities. Our legacy is deeply rooted in empowering our customers with transformative insights, igniting their journey towards unparalleled business expansion and success. We serve decision-makers who seek reliable growth and who value relationships built on trust and quality. By combining our proprietary data with cutting-edge software, we deliver to our customers the essential intelligence needed to excel within their respective landscapes. We propel the construction industry forward by transforming data into tangible guidance, driving unparalleled advancement.

Dodge is the catalyst for modern construction.

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