Data Engineering Tech Lead | GenAI & SOA Architect

Birlasoft; Hinoba-an; On-site; PHP 1,984,000 - 3,306,000; Full time

Job summary

Birlasoft in Noida, India, seeks a Technical Lead-Data Engg to architect and deliver large-scale data solutions. You will lead end-to-end development using Python and Django, design robust data pipelines, and drive GenAI-enabled features in enterprise applications.

The role requires deep expertise in REST/SOAP integrations, SOA principles, and DevOps practices with Git and Azure DevOps, plus hands-on experience shaping scalable architectures and CI/CD deployments in complex environments.

Qualifications

• 7+ years of hands-on experience with Python and Django.
• 5+ years of experience with SQL development, optimization, and database design.
• 1-2 years of applied GenAI technologies (GPT models, embeddings, agents).
• Deep expertise in application architecture, system integration, and SOA.
• Strong experience with DevOps tools and practices (Git, Azure DevOps, CI/CD).

Responsibilities

• Lead Python-Django development across complex data applications.
• Design and optimize data models and SQL schemas.
• Drive GenAI integrations and embeddings in data pipelines.
• Architect system integrations and service-oriented designs.
• Implement DevOps practices including CI/CD and automated deployments.

Skills

Hands-on development

Application architecture

System integration

SOA design

DevOps practices

Tools

Python

Django

SQL

GenAI

REST APIs

SOAP

WSDL

Git

Azure DevOps

CI/CD

Automation

Embeddings

Agents

Job description

Birlasoft in Noida, India, seeks a Technical Lead-Data Engg to architect and deliver large-scale data solutions. You will lead end-to-end development using Python and Django, design robust data pipelines, and drive GenAI-enabled features in enterprise applications.

The role requires deep expertise in REST/SOAP integrations, SOA principles, and DevOps practices with Git and Azure DevOps, plus hands-on experience shaping scalable architectures and CI/CD deployments in complex environments.