Noida, UP, India
Actively hiring, first seen by us todayWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
We are seeking an experienced Senior Product & Application Engineer to join our team.
Develop scalable backend services and APIs to power data quality, validation, analytics and AI model serving features accessible to business users.
Build and maintain automated data pipelines for ingestion, transformation, quality validation and delivery of structured datasets.
Implement application features including data quality dashboards, self-serve insights, automated flagging and summary reporting at varying levels of granularity.
We are seeking an experienced Senior Product & Application Engineer to join our team. The ideal candidate will have a strong background in building and shipping end-to-end data-driven and AI-powered applications from backend engineering and data pipelines through to integrating AI models, user-facing features and production deployment.
Design, build and ship production-grade data and AI-powered applications — owning the full stack from data ingestion and AI model integration through to application logic and user-facing interfaces. Develop scalable backend services and APIs to power data quality, validation, analytics and AI model serving features accessible to business users. Build and maintain automated data pipelines for ingestion, transformation, quality validation and delivery of structured datasets.
Develop scalable backend services and APIs to power data quality, validation, analytics and AI model serving features accessible to business users. Build and maintain automated data pipelines for ingestion, transformation, quality validation and delivery of structured datasets. Implement application features including data quality dashboards, self-serve insights, automated flagging and summary reporting at varying levels of granularity.
Build and maintain automated data pipelines for ingestion, transformation, quality validation and delivery of structured datasets. Implement application features including data quality dashboards, self-serve insights, automated flagging and summary reporting at varying levels of granularity. Ensure robust data governance within the application audit trails, access control, lineage tracking and reproducible workflows.
5+ years of proven experience in product or application engineering, with a track record of shipping production software not just prototyping.
Strong proficiency in Python and backend application development; experience with REST APIs, application frameworks, and AI/ML libraries such as LangChain, OpenAI SDK, or HuggingFace Transformers.
Solid understanding of data engineering fundamentals pipelines, transformations, schema validation and data quality.
Experience building user-facing data and AI-powered products consumed by non-technical business users, with a focus on making AI capabilities accessible and actionable.
Familiarity with SQL and working with structured, multi-source datasets.
Excellent communication skills, with the ability to explain technical decisions clearly to non-technical stakeholders.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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- 5+ years of proven experience in product or application engineering, with a track record of shipping production software not just prototyping. - Strong proficiency in Python and backend application development; experience with REST APIs, application frameworks, and AI/ML libraries such as LangChain, OpenAI SDK, or HuggingFace Transformers. - Solid understanding of data engineering fundamentals pipelines, transformations, schema validation and data quality.
- Experience building user-facing data and AI-powered products consumed by non-technical business users, with a focus on making AI capabilities accessible and actionable. - Familiarity with SQL and working with structured, multi-source datasets. - Strong problem-solving skills with the ability to work across the full application stack.
- Ability to work independently and take end-to-end ownership in a fast-paced, product-driven environment. - Experience with cloud deployment on Azure, AWS or GCP is a strong plus including containerisation, environment setup, managed services and deploying AI/ML model endpoints in production. Qualifications
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About the Role
We are seeking an experienced Senior Product & Application Engineer to join our team. The ideal candidate will have a strong background in building and shipping end-to-end data-driven and AI-powered applications from backend engineering and data pipelines through to integrating AI models, user-facing features and production deployment.
Key Responsibilities
Qualifications
• B.Tech / B.E. (Computer Science, IT, or related field)• M.Tech / MCA (Preferred)• M.Sc. (Statistics / Mathematics / Data Science)
Shift timing : 12 PM -9 PM
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.
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Noida, UP, India
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