Data Quality Engineer

Job Overview:

We are seeking an experienced AI & Data Quality Engineer with 58 years of experience to design and develop AI-enabled data quality solutions. Based out of our Bangalore office, this role is a highly versatile, deeply hands-on position crossing AI/ML engineering, full-stack application development, and robust data warehouse architecture. You will own the creation of automated data quality tracking systems and anomaly detection engines end-to-end.

Key Responsibilities:

• Design and develop AI-enabled data quality tools, profiling workflows, data validation pipelines, and real-time anomaly detection capabilities.
• Build scalable data warehouse systems, orchestration flows (Airflow), and data engineering pipelines to cleanly feed enterprise AI use cases.
• Develop secure REST APIs, backend microservices, and modern user interfaces using React, JavaScript, or TypeScript for internal data quality platforms.
• Implement end-to-end MLOps architectures, model versioning pipelines, continuous integration (CI/CD), and live operational tracking for deployed systems.
• Coordinate directly with cross-functional AI, Data Governance, and pure Technology teams to enforce high corporate data reliability standards.

Required Skills & Qualifications:

• 5-8 years of strong software engineering experience with deep expertise in Python, SQL, and robust development practices.
• Proven hands-on experience building automated data profiling, data health checking, monitoring, or metadata solutions.
• Strong working knowledge of cloud-native data platforms (Snowflake, Databricks, or Redshift) alongside enterprise cloud ecosystems (AWS).
• Experience implementing core MLOps practices, managing the production deployment lifecycle, and handling version control with Git/DevOps platforms.
• Practical familiarity with building web-based data dashboards or interfaces utilizing React and modern API orchestration layers.
• Good to Have: Exposure to AWS Bedrock, SageMaker, Vector Databases, PySpark, and Agentic AI/RAG patterns.