Back-end Engineer
Accenture in India Bengaluru, Karnataka, India
Job Description
"Unlock the future of AI-driven knowledge platforms as a Back-End Engineer at Accenture in India, where you will architect, build, and operate cutting-edge data infrastructure and services."
As a Back-End Engineer at Accenture, you will play a pivotal role in designing and delivering the data infrastructure and services that power our AI-driven knowledge platform. You will work closely with cross-functional teams to architect APIs, build data pipelines, manage multi-modal database systems, and ensure the reliability and performance of services that application and product teams depend on.
With a strong foundation in engineering fundamentals and a passion for innovation, you will be responsible for designing relational schemas, tuning graph queries, standing up vector stores, and shipping production-grade REST APIs. Your expertise in knowledge graph and semantic technology will be crucial in driving the success of our platform.
Why you should learn this:
The demand for skilled Back-End Engineers in the Indian market is on the rise, driven by the growing adoption of AI-driven knowledge platforms and the need for scalable data infrastructure.
Expected Salary: The salary range for a Back-End Engineer at Accenture in India is competitive, with a median salary of ₹1,200,000 - ₹1,800,000 per annum, depending on experience and location.
How it works:
- Step 1: Design and architect the data infrastructure and services using knowledge graph and semantic technology principles.
- Step 2: Build and deploy data pipelines, APIs, and database systems to support the AI-driven knowledge platform.
Core Concepts to Master
Knowledge Graph and Semantic Technology
A knowledge graph is a type of graph database that represents knowledge and relationships between entities. Semantic technology involves using ontologies and inference engines to reason about data and derive new insights. As a Back-End Engineer, you will design and implement knowledge graphs and leverage semantic technology to drive the success of our platform.
API Design and Development
APIs are the backbone of modern software systems, enabling communication between different components and services. As a Back-End Engineer, you will design and develop RESTful APIs, GraphQL APIs, and other types of APIs to support the AI-driven knowledge platform.
Data Ingestion, Transformation, and Storage
Data ingestion involves collecting and processing data from various sources, while data transformation involves converting data into a format suitable for analysis and storage. As a Back-End Engineer, you will design and implement data pipelines, ETL processes, and data warehousing solutions to support the AI-driven knowledge platform.
Database Systems and Performance Tuning
Database systems are critical components of modern software systems, providing data storage, retrieval, and manipulation capabilities. As a Back-End Engineer, you will design and implement multi-modal database systems, including relational databases, graph databases, and NoSQL databases, and optimize their performance using various tuning techniques.
Interview Questions (Beginner)
- What is a knowledge graph, and how is it used in AI-driven knowledge platforms?
- Can you explain the difference between RESTful APIs and GraphQL APIs?
- How do you design and implement data pipelines for large-scale data processing?
Job Overview
Advance Questions
- • How do you optimize the performance of graph databases for large-scale data processing?
- • Can you explain the concept of data warehousing and how it is used in AI-driven knowledge platforms?
- • How do you design and implement multi-modal database systems to support the AI-driven knowledge platform?