Senior Data & AI Platform Engineer - Immediate Requirement

Times World; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading technology firm in India is seeking a Senior Data & AI Platform Engineer with a strong background in data architecture and system development. The ideal candidate will have 6–8 years of experience in backend development, particularly with scalable systems and data pipelines. Key responsibilities include designing robust data architectures and collaborating with cross-functional teams to optimize data handling. Candidates should be proficient in Python and have a deep understanding of data engineering concepts.

Qualifications

• 6–8 years of experience in backend development focusing on data platforms.
• Strong ability to design and implement scalable data architectures.
• Experience with cloud platforms (AWS/GCP/Azure) is advantageous.

Responsibilities

• Design and develop scalable backend systems using Python.
• Define and implement data architecture and database design strategies.
• Build and optimize data ingestion and transformation pipelines.
• Collaborate with cross-functional teams for efficient data handling.

Skills

Backend & System Design

Python development

System scalability and performance optimization

Distributed systems understanding

Data Engineering Concepts

Data modelling knowledge

Data warehousing concepts

Strong knowledge of REST APIs

Job description

Job ID: DEV-IND-2280

Department: Software Development
Job Type: Permanent
Location: India

We are looking for a Senior Data & AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development. The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the ability to design robust, scalable backend systems and data pipelines.

Key Responsibilities

• Design and develop scalable backend systems using Python
• Define and implement data architecture and database design strategies
• Build and optimize data ingestion and transformation pipelines
• Develop and maintain unified data models across multiple systems
• Design end-to-end data flows and integration strategies
• Collaborate with cross-functional teams to ensure efficient data handling and processing
• Ensure system scalability, performance, and reliability
• Design and implement ML-enabled components (e.g., pattern detection, relationship mapping, anomaly detection) and integrate them into backend systems and APIs
• Work with structured and unstructured data to support AI-driven insights, including data preparation, feature engineering, and pipeline development
• Collaborate with AI/analytics teams to deploy, monitor, and optimize ML models within production environments

Core Technical Skills

• Backend & System Design
• Strong experience in Python development
• Expertise in system scalability and performance optimization
• Solid understanding of distributed systems and backend architecture
• Data Engineering Concepts (VERY IMPORTANT)
• Strong knowledge of data modelling (OLTP vs OLAP)
• Understanding of data warehousing concepts
• Experience with data lake architecture
• Strong knowledge of REST APIs (Flask/Django/FastAPI)

Platforms (Highly Preferred)

• Modern data lake systems
• Ability to design and implement unified and scalable data models

System Thinking & Architecture

• Design scalable backend architectures
• Define and manage data flow across systems
• Guide integration strategies between multiple services and platforms

Requirements (Qualifications/Experience/Competencies)

Good to Have

• Experience with cloud platforms (AWS / GCP / Azure)
• Exposure to real‑time data processing systems
• Knowledge of ML data pipelines or analytics workflows

What We’re Looking For

• Passion for experimenting with new tools, frameworks, and ideas
• Ability to quickly prototype and iterate on features
• Interest in blending creativity with engineering
• Comfort working in less rigid, exploratory development environments
• Strong curiosity and self‑learning mindset

Bonus Points If You

• Use AI‑assisted coding tools (like GitHub Copilot, Cursor, Antigravity, Claude)
• Build side projects, prototypes, or experimental apps
• Enjoy rapid MVP development, or creative coding
• Stay updated with latest trends in AI, and developer tools

Experience

6–8 years of experience