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 LocationQualified 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 automationImplement 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 RequirementBachelor’s degree in a related field or equivalent education and work experience. Required Experience, Knowledge and Skills7+ years of experience in software and quality engineering, with at least 3 years leading data quality engineeringProven track record automating and measuring data quality assurance in production environments Proficient in SQL Proficient in Python or R Proficient with Git for source controlExperience developing QA automation on AWS or equivalent cloud platformsPreferred Experience, Knowledge and Skills Experience using AI development toolsProficient 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.
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.
Dodge Construction Network harnesses data, analytics, and industry connections to be the leading source of insights and opportunities in the commercial construction industry. With five trusted solutions—Dodge Construction Central, The Blue Book, Sweets, IMS, and Principia—Dodge connects construction professionals across all stages of the building process. Designed for both small teams and large enterprises, these tools simplify complexity, empowering you to build thriving businesses and communities. With over a century of experience, Dodge Construction Network is the catalyst for modern construction.
Dodge Construction Network harnesses data, analytics, and industry connections to be the leading source of insights and opportunities in the commercial construction industry. With five trusted solutions—Dodge Construction Central, The Blue Book, Sweets, IMS, and Principia—Dodge connects construction professionals across all stages of the building process. Designed for both small teams and large enterprises, these tools simplify complexity, empowering you to build thriving businesses and communities. With over a century of experience, Dodge Construction Network is the catalyst for modern construction.
