Data Quality Engineering Lead

Job description

# Data Quality Engineering Lead > Dodge Construction Network · Kochi, India (Hybrid) · Full-time · Posted 2026-08-14 **Salary:** INR 1,200,000–2,500,000 **Workplace:** hybrid **Department:** 000410 - Engineering (India) ## Description 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 **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. ## Apply [Apply at Dodge Construction Network](https://apply.workable.com/dodge-construction-network/j/DD7D833942/apply) --- Powered by [Workable](https://www.workable.com)