Hr Full stack data engineer Jobs – 173 Open Jobs Today

Quality Engineer
Accenture —Gurugram, Haryana
- Full-time
- Master's degree
- APIs
- AI
Project Leader/ Manager- Solution Architect(PEG)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior Associate Full stack + AI (Consumer Products AI)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
2d
Lead Engineer - Node and React
News Corp —Gurugram, Haryana
- Management
- System design
- AWS
8d
Principal Technical Consultant, App Dev
AHEAD —Gurugram, Haryana
- Full-time
- Remote
- Azure
- Sales
- DevOps
- Health insurance
- Paid time off
AI Infrastructure Architect
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
9d
Forward Deployed Engineer
Coralogix —Gurugram, Haryana
- Full-time
- Doctoral degree
- Master's degree
- APIs
Senior Software Engineer
SalesCode.ai —Unknown, Haryana
- ₹8 - ₹18 a year
- Full-time
- Software troubleshooting
- Java
- Master's degree
Lead, Data Scientist
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
Manager - BIM
Axtria, Inc. —Gurugram, Haryana
- Azure
- Salesforce
- Master's degree
Web API Developer
Agenty Analytics —Bahadurgarh, Haryana
- Email
- Azure
- Databases
- SQL
Devops Engineer/ Senior Devops Engineer - Linux
WebEngage —Gurugram, Haryana
- Azure
- Computer Science
- Databases
- Health insurance
- Paid sick time
Quick apply
Senior Software Engineer
Insight Enterprises —Gurugram, Haryana
- Computer Science
- DevOps
- Java
- Health insurance
3d
Software Development Engineer - II Intelligent compliance solutions group
Skyleaf Consultants —Gurugram, Haryana
- ₹10,00,000 - ₹12,00,000 a year
- Full-time
- System design
- AWS
- JavaScript
Senior Developer - Java Fullstack
Srijan Technologies PVT LTD —Gurugram, Haryana
- Computer Science
- Software troubleshooting
- Java
Quick apply
Head of Shared Services
Avya Capital —Gurugram, Haryana
- ₹55,00,000 - ₹75,00,000 a year
- Full-time
- Master's degree
- In-person
- AI
Quick apply
Senior Engineer - Automation
Techblocks —Gurugram, Haryana
- Java
- AWS
- JavaScript
Quick apply
12d
Quality Engineer (Tester)
Accenture —Gurugram, Haryana
- Full-time
- APIs
- Python
Agentic AI / ML
SWARAN SOFT SUPPORT SOLUTIONS PRIVATE LIMITED —Gurugram, Haryana
- Email
- Remote
- Microsoft Outlook
- Master's degree
- APIs
Quick apply
Enterprise Lead / Enterprise Architect (AI & Analytics Platform)
Saarthee —Gurugram, Haryana
- Azure
- Computer Science
- Master's degree
- Health insurance
Quick apply

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Quality Engineer

Accenture -
Gurugram, Haryana

Apply Now

Job details

Full-time

Qualifications

CI/CD
Law
Full-stack development
SAP
SAP BW 4HANA
Master's degree
Continuous integration
APIs
AI
Data warehouse
Analytics
Design patterns

Full job description

Project Role : Quality Engineer
Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills : SAP BTP Datasphere
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary
AI Powered Tech Talent
Build AI native, data centric products on SAP BTP Datasphere by combining strong enterprise data warehousing and semantic modeling expertise with agentic AI architectures (LLMs + tools + retrieval + evaluation). The focus is to move beyond dashboards into intelligent data experiences—data agents, conversational analytics, and grounded insights—built on governed Datasphere models and integrated enterprise sources.
SAP Datasphere is positioned as a data warehousing solution with integration capabilities.
Core Responsibilities
1) AI Native Data Product Engineering (on Datasphere)
Design and implement governed data products using Datasphere concepts such as Spaces and shareable models/views, enabling teams to explore, transform, and share curated datasets across domains.
Build semantic models that are fit for both analytics and AI consumption (clear entity definitions, measures, hierarchies, lineage-friendly design).
2) Retrieval + Grounding (RAG) over Enterprise Data
Create grounded AI experiences by connecting LLM applications to Datasphere s curated models and enterprise sources (SAP and non SAP), ensuring responses are traceable to governed data.
Engineer retrieval strategies that respect domain boundaries (spaces), freshness needs, and access controls, so AI outputs remain reliable and compliant.
3) Hybrid Modernization & Migration (BW bridge patterns)
Enable transition paths from legacy warehouse investments by leveraging approaches such as reusing SAP BW models and skills with Datasphere / BW bridge, supporting phased cloud modernization.
4) Lakehouse style Layering & Data Quality by Design
Implement layered design patterns (e.g., Bronze/Silver/Gold) to land raw data, cleanse/validate, and publish analytics ready models—while maintaining clear rules for what s exposed for consumption.
Embed quality controls, validation checks, and reproducible transformations as part of the delivery lifecycle.
5) Agentic Orchestration & Tooling
Build data agents that can plan, call tools (query/metadata/lineage), retrieve context, and generate answers with citations—backed by deterministic checks and fallback behaviors.
Implement prompt templates, tool schemas, and safe action boundaries for enterprise-grade usage.
6) Evaluation, Observability & Responsible AI
Establish offline/online evaluation loops (golden questions, regression suites, behavior tests) for conversational analytics and data agents.
Add telemetry for AI interactions (latency, grounding rate, failure modes) to improve reliability and cost efficiency.
7) Integration & Collaboration
Partner closely with business, data governance, and platform teams to align data products with real decisions and operational workflows.
Drive reusable patterns and accelerators for repeatable delivery across domains.

Primary Skills (AI Native Must Have)
SAP BTP Datasphere: data modeling, spaces, sharing patterns, enterprise semantic design.
Strong data warehousing fundamentals and ability to translate business domains into governed analytical models.
Hands-on building with LLMs + RAG (retrieval, grounding, prompt/tool design, evaluation).
Solid software engineering fundamentals: testability, CI/CD mindset, reliable integrations.

Secondary / Strongly Beneficial Skills
Migration/modernization experience leveraging BW bridge style transition patterns.
Layered architecture implementation (Bronze/Silver/Gold) for scalable analytics delivery.
Familiarity with vector search / embedding pipelines (when integrating external AI retrieval components).

What This Role Does Not Center On
Training foundation models from scratch (the emphasis is on building agentic apps and governed retrieval on enterprise data).
AI assisted only delivery this role owns the AI behavior (grounding, evaluation, safety) end to end.

Value Delivered
Faster path from data to decision through conversational + agentic analytics grounded in governed Datasphere models.
Scalable modernization of hybrid data estates via patterns like BW bridge.
Higher trust AI outputs by implementing layered quality + evaluation loops.

Additional Information
A 15 years full time education is required

15 years full time education

Apply Now

Refine Your Search

full stack data engineer jobs in hr

Quality Engineer

Project Leader/ Manager- Solution Architect(PEG)

Senior Associate Full stack + AI (Consumer Products AI)

Lead Engineer - Node and React

Principal Technical Consultant, App Dev

AI Infrastructure Architect

Forward Deployed Engineer

Senior Software Engineer

Lead, Data Scientist

Manager - BIM

Web API Developer

Devops Engineer/ Senior Devops Engineer - Linux

Senior Software Engineer

Software Development Engineer - II Intelligent compliance solutions group

Senior Developer - Java Fullstack

Head of Shared Services

Senior Engineer - Automation

Quality Engineer (Tester)

Agentic AI / ML

Enterprise Lead / Enterprise Architect (AI & Analytics Platform)

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