SAP Datasphere:
We are seeking an experienced SAP Datasphere Developer with strong expertise in building scalable data models and hands‑on proficiency in SQL. The ideal candidate will design, develop, and optimize data models within SAP Datasphere (DSP), ensuring high data quality, performance, and usability for analytics and business applications.
Key Responsibilities
Data Modeling & Development
Design, build, and manage data models (graphical, SQL, entity relationship models) in SAP Datasphere.
Develop local tables, views, analytical datasets, and semantic models to support reporting and analytics use cases.
Implement data transformations, calculation logic, and business rules using DSP capabilities.
Write high‑quality, efficient SQL scripts for data extraction, transformation, and loading (ETL/ELT).
Optimize SQL queries for performance, scalability, and data accuracy.
Troubleshoot SQL and modeling‑related issues across datasets and data flows.
Familiarity with SAP ecosystem (e.g., ABAP, BWonHANA, BW/4HANA, SAP Analytics Cloud)
Work with Data Integration Monitor, Replication Flows, and Connections within SAP Datasphere.
Collaborate with data architects, analysts, business SMEs, and engineering teams to understand requirements and translate them into DSP models.
Soft Skills
Strong analytical thinking and problem‑solving skills.
Good communication and stakeholder‑management abilities.
Adaptability and willingness to learn emerging SAP data technologies.
Responsibilities
SAP Datasphere:
We are seeking an experienced SAP Datasphere Developer with strong expertise in building scalable data models and hands‑on proficiency in SQL. The ideal candidate will design, develop, and optimize data models within SAP Datasphere (DSP), ensuring high data quality, performance, and usability for analytics and business applications.
Key Responsibilities
Data Modeling & Development
Design, build, and manage data models (graphical, SQL, entity relationship models) in SAP Datasphere.
Develop local tables, views, analytical datasets, and semantic models to support reporting and analytics use cases.
Implement data transformations, calculation logic, and business rules using DSP capabilities.
Write high‑quality, efficient SQL scripts for data extraction, transformation, and loading (ETL/ELT).
Optimize SQL queries for performance, scalability, and data accuracy.
Troubleshoot SQL and modeling‑related issues across datasets and data flows.
Familiarity with SAP ecosystem (e.g., ABAP, BWonHANA, BW/4HANA, SAP Analytics Cloud)
Work with Data Integration Monitor, Replication Flows, and Connections within SAP Datasphere.
Collaborate with data architects, analysts, business SMEs, and engineering teams to understand requirements and translate them into DSP models.
Soft Skills
Strong analytical thinking and problem‑solving skills.
Good communication and stakeholder‑management abilities.
Adaptability and willingness to learn emerging SAP data technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Design enterprise-grade data models that support dynamic part/station relationships, historical plan versions, AI-driven insights, and collaboration workflows — across polyglot data stores.
Shape
Key Responsibilities:
Define and evolve logical and physical data models for core entities (parts, tools, stations, processes, plans, versions).
Create semantic data layers that support AI agent reasoning, Copilot queries, and planner views.
Model versioning-aware relationships — enable tracking of change history, deltas, and rollback paths.
Design graph and document models for relationships and dependencies (e.g., part↔station↔variant mappings).
Collaborate with engineering teams to ensure data models match service contracts (GraphQL/REST APIs).
Partner with AI/ML team to support knowledge graph, embeddings, and metadata tagging.
Define standards for schema evolution, validations, canonical references, and entity resolution.
Contribute to a central data dictionary and model governance framework for all teams.
Shape
Required Skills:
Expertise in data modeling techniques: ER diagrams, star/snowflake schemas, graph models, document structures.
Hands-on with PostgreSQL, MongoDB, Neo4j, and Redis — know when to use what.
Familiarity with data modeling tools: ER/Studio, dbt, http://dbdiagram.io , Lucidchart.
Experience in version-controlled data models, soft deletes, entity lineage, and temporal modeling.
Strong understanding of microservice boundaries and data contract ownership.
Modeling systems for manufacturing, PLM, or ERP-style applications (BOMs, process structures, routing).
Exposure to semantic layer / ontology modeling for AI platforms.
Building multi-modal data models to support structured, unstructured, and graph data in the same product.
Shape
Key Performance Indicators (KPIs):
100% alignment between logical models and API/service contracts.
< 10% schema churn per quarter (reflecting design stability).
Zero critical integration defects due to schema or relationship mismatches.
Performance targets met for cross-entity queries (< 1s response for planner views)
Responsibilities
Design enterprise-grade data models that support dynamic part/station relationships, historical plan versions, AI-driven insights, and collaboration workflows — across polyglot data stores.
Shape
Key Responsibilities:
Define and evolve logical and physical data models for core entities (parts, tools, stations, processes, plans, versions).
Create semantic data layers that support AI agent reasoning, Copilot queries, and planner views.
Model versioning-aware relationships — enable tracking of change history, deltas, and rollback paths.
Design graph and document models for relationships and dependencies (e.g., part↔station↔variant mappings).
Collaborate with engineering teams to ensure data models match service contracts (GraphQL/REST APIs).
Partner with AI/ML team to support knowledge graph, embeddings, and metadata tagging.
Define standards for schema evolution, validations, canonical references, and entity resolution.
Contribute to a central data dictionary and model governance framework for all teams.
Shape
Required Skills:
Expertise in data modeling techniques: ER diagrams, star/snowflake schemas, graph models, document structures.
Hands-on with PostgreSQL, MongoDB, Neo4j, and Redis — know when to use what.
Familiarity with data modeling tools: ER/Studio, dbt, http://dbdiagram.io , Lucidchart.
Experience in version-controlled data models, soft deletes, entity lineage, and temporal modeling.
Strong understanding of microservice boundaries and data contract ownership.
Modeling systems for manufacturing, PLM, or ERP-style applications (BOMs, process structures, routing).
Exposure to semantic layer / ontology modeling for AI platforms.
Building multi-modal data models to support structured, unstructured, and graph data in the same product.
Shape
Key Performance Indicators (KPIs):
100% alignment between logical models and API/service contracts.
< 10% schema churn per quarter (reflecting design stability).
Zero critical integration defects due to schema or relationship mismatches.
Performance targets met for cross-entity queries (< 1s response for planner views)
Salary : Rs. 15,00,000.0 - Rs. 20,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the documentation of software specifications and design.
- Collaborate with cross-functional teams to gather requirements and provide technical insights.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in ServiceNow Configuration Management Database (CMDB).
- Strong understanding of software development life cycle methodologies.
- Experience with modern programming languages and frameworks.
- Ability to troubleshoot and resolve software issues effectively.
- Familiarity with agile development practices and tools.
Responsibilities
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the documentation of software specifications and design.
- Collaborate with cross-functional teams to gather requirements and provide technical insights.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in ServiceNow Configuration Management Database (CMDB).
- Strong understanding of software development life cycle methodologies.
- Experience with modern programming languages and frameworks.
- Ability to troubleshoot and resolve software issues effectively.
- Familiarity with agile development practices and tools.
Salary : Rs. 0.0 - Rs. 1,32,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary development frameworks and following agile methodologies to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, fostering innovation and responsiveness to evolving project demands. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Journey Optimizer.- Strong knowledge of software development life cycle and agile methodologies.- Experience in designing and implementing scalable software components.- Ability to troubleshoot and resolve complex technical issues effectively.- Familiarity with integration of software solutions across diverse platforms.- Excellent problem-solving skills with a focus on delivering business value
Responsibilities
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary development frameworks and following agile methodologies to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, fostering innovation and responsiveness to evolving project demands. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Journey Optimizer.- Strong knowledge of software development life cycle and agile methodologies.- Experience in designing and implementing scalable software components.- Ability to troubleshoot and resolve complex technical issues effectively.- Familiarity with integration of software solutions across diverse platforms.- Excellent problem-solving skills with a focus on delivering business value
Salary : Rs. 0.0 - Rs. 2,76,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a Data Engineer with LLM & AI experience to build and support scalable data pipelines and AI-driven solutions. The ideal candidate should have strong expertise in data engineering along with hands-on exposure to Large Language Models (LLMs), Generative AI, and modern data platforms.
Key Responsibilities
Design and develop scalable data pipelines for AI/ML use cases
Work with large datasets using:
Databricks
Apache Spark
Build and optimize ETL/ELT pipelines for structured and unstructured data
Support LLM/GenAI applications by preparing, processing, and managing training/inference data
Develop and manage data pipelines for AI workflows (feature engineering, embeddings, etc.)
Work with vector databases and embeddings for AI applications
Integrate AI/ML models into production systems
Collaborate with data scientists and ML engineers
Ensure data quality, governance, and performance optimization
Responsibilities
We are looking for a Data Engineer with LLM & AI experience to build and support scalable data pipelines and AI-driven solutions. The ideal candidate should have strong expertise in data engineering along with hands-on exposure to Large Language Models (LLMs), Generative AI, and modern data platforms.
Key Responsibilities
Design and develop scalable data pipelines for AI/ML use cases
Work with large datasets using:
Databricks
Apache Spark
Build and optimize ETL/ELT pipelines for structured and unstructured data
Support LLM/GenAI applications by preparing, processing, and managing training/inference data
Develop and manage data pipelines for AI workflows (feature engineering, embeddings, etc.)
Work with vector databases and embeddings for AI applications
Integrate AI/ML models into production systems
Collaborate with data scientists and ML engineers
Ensure data quality, governance, and performance optimization
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
