N
QA - Data Quality Engineer
full-time•India
About this role
Key Responsibilities:
- ETL Pipeline Testing.
- Data Validation through automation.
- Snowflake Quality Assurance: Verify data models, schemas, and performance in Snowflake, and cost-efficient warehouse usage.
- Automation Frameworks
- Performance Monitoring
Required Skills:
- Experience: 4–5 years in Data Quality Engineering.
- Azure Stack: Hands-on in Azure Data Factory (ADF), Azure Data Lake Storage.
- Snowflake Proficiency: Advanced skills in Snowflake SQL, tasks, streams, and performance.
- Programming: Strong proficiency in Python and PySpark for building distributed testing scripts.
- SQL
- Tools: Familiarity with data quality tools and version control (Git).
Why Join Us?
- Work in an innovative environment with the business that is shaping the future of data migration.
- Be part of a dynamic, high-growth environment at NucleusTeq.
- Competitive salary and comprehensive benefits package.
What you'll do
- The key responsibilities include testing ETL pipelines and validating data through automation. Additionally, the role involves ensuring quality assurance in Snowflake by verifying data models, schemas, and performance.
About NucleusTeq
NucleusTeq is a global software services, solutions, and products company specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, we empower Fortune 100 enterprises with AI-driven innovation, scalable architectures, and end-to-end data transformation.
Core Services:
✔ Generative AI & Machine Learning – Building LLM-powered solutions, AI-driven automation, and intelligent analytics.
✔ Data Modernization – Seamless migration, transformation, and optimization of legacy and modern data ecosystems.
✔ End-to-End Data Strategy & Implementation – Crafting and executing data governance, analytics, and AI strategies for business growth.
✔ Big Data & Cloud Solutions – Scalable data platforms, real-time analytics, and cloud-native architectures.
✔ Enterprise Automation & Blockchain – AI-integrated automation, smart contracts, and secure blockchain solutions.
✔ Enterprise Product Development & Support – AI-driven custom software, enterprise applications, and cloud solutions with ongoing support.
NuoData – AI-Driven Data Modernization Platform:
NucleusTeq’s proprietary NuoData platform powers end-to-end data modernization, AI, and analytics:
🔹 Atlas – AI-powered data cataloging & governance.
🔹 Quantum – High-performance data pipelines & real-time processing.
🔹 Nova AI – Enterprise AI/ML framework supporting LLMs, automation, and analytics.
🔹 Astra – Data fabric for seamless data integration & governance.
🔹 Halo – Security, compliance, and PII management.
🔹 Spectra – Full-stack observability for AI & data workloads.
🔹 TransformX – Modernizing & migrating data from any source to any target.
With a focus on innovation, scalability, and strategic alignment, NucleusTeq enables enterprises to harness AI, optimize data ecosystems, and accelerate digital transformation.
Ready to join NucleusTeq?
Take the next step in your career journey
Frequently Asked Questions
What does a QA - Data Quality Engineer do at NucleusTeq?
As a QA - Data Quality Engineer at NucleusTeq, you will: the key responsibilities include testing ETL pipelines and validating data through automation. Additionally, the role involves ensuring quality assurance in Snowflake by verifying data models, schemas, and performance..
Is the QA - Data Quality Engineer position at NucleusTeq remote?
The QA - Data Quality Engineer position at NucleusTeq is based in India, India. Contact the company through Clera for specific work arrangement details.
How do I apply for the QA - Data Quality Engineer position at NucleusTeq?
You can apply for the QA - Data Quality Engineer position at NucleusTeqdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.