Senior Data & AI Platform Engineer

Times World; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Timesworld is seeking a Senior Data & AI Platform Engineer in India to lead data architecture, database design, and scalable backend system development. The role focuses on building robust data pipelines, unified data models, and end-to-end data flows that support AI/ML initiatives.

Collaboration with AI/ML teams and multiple data stores across systems is essential. The ideal candidate will have 5–7 years of experience in data engineering, strong knowledge of relational and NoSQL databases, and

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related field.
• 5-7 years of experience in data engineering, platform development, and data architecture.
• Experience with data modelling, data lake, and data warehousing concepts; strong backend design skills.

Responsibilities

• Design and develop scalable back-end systems.
• 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.
• Work with AI/ML teams to support model training and pipelines.
• Deliver clean, structured data to support AI/ML systems.

Skills

Back-end & System Design

Distributed Systems

Data Engineering Concepts

Data Modelling (OLTP/OLAP)

Data Lake & Data Warehousing

REST APIs (FastAPI/Flask/Django)

Python

Kafka

Snowflake

PostgreSQL

MongoDB

Education

Bachelor's degree in CS/IT/Software/Data Science

Master's degree (advantage)

Tools

Airbyte

S3/ADLS

Neo4j / Graph DBs

TimescaleDB

Job description

Department: Product 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 back-end systems and data pipelines.

Key responsibilities:

• Design and develop scalable back-end systems
• 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
• Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
• Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows
• Consume and integrate outputs from ML models into data pipelines and backend systems
• Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams

Core Technical Skills

• Back-end & System Design
• Expertise in system scalability and performance optimization
• Solid understanding of distributed systems and back-end architecture
• Data Engineering Concepts (IMPORTANT)
• Strong knowledge of data modelling (OLTP vs OLAP)
• Strong knowledge of data lake architecture (primary) and data warehousing concepts
• Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)

Core Platforms & Technologies (Required)

Strong working knowledge of:

• Relational databases - strong hands-on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)
• Non-relational / NoSQL databases - working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)
• Graph databases - understanding of graph data models (e.g. Apache AGE, Neo4j concepts)
• Comfortable working across multi-database environments - relational, time-series, graph, and cache layers in a single architecture

Good to Have: Hands-on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms

Data Ingestion & Processing

Ability to design and implement:

• Unified and scalable data models
• System Thinking & Architecture

Ability to:

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

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
• Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows is an advantage

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

Requirements (Qualifications/Experience/Competencies)

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage
5 - 7 years of experience

Leading provider of data management, market research, analytics and business intelligence solutions. Pioneer in data unification and bringing cognitive solutions to practical systems.

01, Ground Floor, Sahya Tower
Govt. Cyberpark Campus
Calicut, Kerala, India 673 016
Tel: [phone]

Timesworld is certified for ISO 9001:2015 and ISO 27001:2022.

Timesworld is registered with the ICO Data Protection Act 2018 No. ZA473769 and EU-GDPR knowledge certified by Information Security Institute & endorsed by European Risk Policy Institute. Timesworld is a corporate member of ESOMAR (European Society for Opinion and Market Research).