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Technology & Transformation - Engineering - Senior Consultant - Python Data Engineer - Bangalore

Deloitte -
Bengaluru, Karnataka

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Job details

Qualifications

CI/CD
Azure
Rust (programming language)
Business intelligence
Law
Computer Science
Big data
Software deployment
NumPy
Git
Master's degree
Databases
Microservices
SQL
Pandas
OOP
AWS
Docker
Bachelor's degree
Machine learning
Continuous integration
Back-end development
REST
Django
Software development
APIs
Flask
AI
Communication skills
Python
Information Technology
Design patterns

Full job description

Job requisition ID :: 105972

Date: Jun 4, 2026

Location: Bengaluru

Designation: Senior Consultant

Entity: Deloitte Touche Tohmatsu India LLP

Technology & Transformation - Engineering - Senior Consultant - Python Data Engineer - Bangalore

Job requisition ID : 105972
Location: Bengaluru
Entity: Deloitte Touche Tohmatsu India LLP

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Location: Bangalore

Your work profile:

We are seeking a highly skilled Senior Software Developer – Python to join our AI Solutions team focused on building scalable and intelligent systems in the Electrification domain. This role combines strong backend engineering expertise with exposure to AI/ML and Generative AI technologies. You will work closely with AI/ML engineers, data scientists, cloud architects, and product teams to design, develop, and deploy high-performance backend systems and AI-powered applications. The ideal candidate should possess strong Python programming fundamentals, backend API development experience, understanding of data pipelines, and practical exposure

to AI/ML integration.

Key Responsibilities

1. Design, develop, and maintain scalable backend applications and RESTful APIs using

Python frameworks such as FastAPI, Flask, or Django.

2. Write clean, reusable, maintainable, and testable Python code following OOP

principles, SOLID principles, and design patterns.

3. Collaborate with AI/ML teams to integrate Machine Learning, Deep Learning, and

Generative AI models into production systems.

4. Develop and manage APIs for AI/ML model serving and inference workflows.

5. Build and support ETL/data processing pipelines involving extraction, transformation,

and loading of large datasets.

6. Work with NumPy, Pandas, and SQL-based systems for data processing and analytics

tasks.

7. Contribute to GenAI-based solutions involving concepts such as:

o Retrieval-Augmented Generation (RAG)

o Vectorization and embeddings

o Vector databases

o LLM integration workflows

8. Participate in architecture and system design discussions to ensure scalability,

reliability, and performance optimization.

9. Implement CI/CD pipelines and follow DevOps best practices for automated

deployment and monitoring.

10. Design systems with observability in mind using structured logging, monitoring, alerting,

and tracing tools.

11. Optimize backend systems for performance, concurrency, reliability, and scalability.

12. Participate in code reviews, debugging, troubleshooting, and mentoring junior engineers

when required.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related

field.

6+ years of hands-on software development experience using Python.

Strong understanding of:

o Object-Oriented Programming (OOP)

o Data Structures & Algorithms

o SOLID principles

o Design patterns

Strong coding and problem-solving skills in Python.

Experience with backend frameworks such as FastAPI, Flask, or Django.

Strong understanding of REST API development and microservices architecture.

Practical experience with:

o NumPy

o Pandas

o SQL

Good understanding of ETL workflows and data lifecycle management.

Exposure to AI/ML model integration and deployment workflows.

Basic understanding of Generative AI concepts including:

o RAG pipelines

o Embeddings/vectorization

o Vector databases

o LLM application workflows

Experience with Docker, Git, and CI/CD pipelines.

Understanding of cloud platforms such as AWS or Azure.

Strong communication and collaboration skills.

Preferred Qualifications

Exposure to MLOps practices and model monitoring.

Experience with cloud AI services such as:

o AWS SageMaker

o AWS Bedrock

o Azure ML Studio

o Azure OpenAI Service

Experience with observability and monitoring tools such as:

o Prometheus

o Grafana

o ELK Stack

o OpenTelemetry

Experience building scalable and high-performance backend systems.

Familiarity with LangChain, FAISS, ChromaDB, or similar GenAI frameworks/tools.

Experience in Rust is a strong plus.

Exposure to data engineering concepts and large-scale data processing.

Background or interest in the Power & Energy domain is an added advantage.

Apply Now

Refine Your Search

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