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SAP Technical Developer

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Onsite

SAP Technical Developer

Career Vision Hr Consultancy

SAP Technical Developer

Skills

SQL QueriesPythonData AnalysisMachine LearningAISAP ERPSAP Analytics CloudCompliance

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹1,100,000 – ₹2,100,000 / year

Location:

Navi Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


Role & responsibilities

SAP Technical Developer / SAP Clean Core Developer with AI Skills (Excellent communication skills is must)

________________________________________

Role Overview

We are looking for SAP Technical Developers with a strong Clean Core mindset, high autonomy, and a solid documentation culture, combined with foundational to advanced skills in Artificial Intelligence and data modeling.

The role is designed for developers who can:

  • build SAP extensions and integrations without breaking the Clean Core
  • leverage AI / data models where relevant (predictive, classification, automation support)
  • work in a governed landscape using SAP Cloud ALM
  • communicate in English in a professional daily context

________________________________________

Core Principles (Mandatory)

Clean Core concept

Side by side extensions via APIs, CDS, BTP where applicable

SAP Cloud ALM driven governance & traceability

Strong documentation and design justification

Autonomous, ownership oriented mindset

________________________________________

Key Responsibilities

SAP Technical Delivery

  • Develop SAP solutions aligned with Clean Core principles

  • Design and implement:

  • ABAP / ABAP Objects

  • CDS Views (analytical & transactional)

  • OData / REST APIs

  • Build side by side extensions where appropriate

  • Develop and maintain SAC dashboards & KPIs

SAP Cloud ALM & Governance

  • Use SAP Cloud ALM for:

  • requirements management

  • change and feature tracking

  • Ensure traceability between:

  • business requirement

  • technical implementation

  • documentation

  • Actively contribute to Clean Core compliance

AI / Data / Intelligent Extensions

  • Contribute to AI driven use cases, such as:

  • predictive indicators

  • anomaly detection

  • recommendation or scoring models

  • automation support

  • Participate in:

  • data preparation and modeling

  • integration of AI models into SAP processes

  • Interface SAP data with AI components via APIs or BTP services

Documentation & Autonomy

  • Produce high quality technical documentation:

  • Clean Core justification

  • AI model usage and limitations

  • Work autonomously end to end on assigned topics

  • Proactively identify risks and improvement opportunities

________________________________________

Required Technical Skills

SAP Core

  • Strong ABAP / ABAP OO
  • SAP S/4HANA development
  • CDS Views
  • OData services
  • SAP debugging & performance analysis

Clean Core & Architecture

  • Solid understanding of SAP Clean Core principles

  • Ability to articulate:

  • what remains standard

  • where extensions are allowed

  • which patterns must be avoided

  • Experience working under strong governance

SAP Cloud ALM

  • Practical experience or strong exposure

  • Comfortable working with:

  • requirements

  • features

  • documentation traceability

AI / Data / Modeling (Mandatory foundation)

  • Understanding of AI / Machine Learning concepts

  • Experience or exposure to:

  • data modeling

  • model development (predictive / classification / scoring)

  • Knowledge of tools and languages such as:

  • Python

  • SQL / data manipulation

  • Ability to integrate AI models via APIs

Advanced AI expertise is a strong plus

Hands on experience > theory

Integration & APIs

  • REST / JSON

  • SAP APIs

  • CPI / BTP integration knowledge is a plus

Analytics

  • SAP Analytics Cloud (SAC) / Datasphere

  • KPI driven reporting mindset

  • CDS / HANA based data sources

________________________________________

Profile Requirements

  • 5+ years of SAP technical experience

  • Strong autonomy and ownership

  • Very strong documentation culture

  • Comfortable in governed environments

  • Exposure to AI / data topics

  • Good professional English communication skills is must.

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