Data & AI Engineer – GenAI Platforms

Onelogica; Delhi; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Onelogica in Delhi, India, seeks a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines on AWS, with exposure to Generative AI-assisted development.

You will work with data scientists and BI teams to enable analytics and AI/ML use cases while ensuring governance, security, and cost optimization across data platforms, and supporting CI/CD and IaC practices.

Qualifications

• Degree in a tech field (BTech/BE/BSc/BCA/MTech/PhD) is required.
• Strong experience building scalable data pipelines on AWS.
• Exposure to AI-driven data engineering practices is a plus.
• Knowledge of data governance, security, and cost optimization.
• Familiarity with CI/CD and Infrastructure as Code (IaC).

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines on AWS.
• Develop and maintain modern data lake and data warehouse architectures.
• Work with structured, semi-structured, and streaming data sources.
• Implement data transformation, orchestration, monitoring, and quality frameworks.
• Utilize AI-assisted development tools to improve productivity and engineering efficiency.
• Collaborate with Data Scientists, BI teams, and business stakeholders for analytics and AI/ML use cases.
• Ensure data governance, security, performance optimization, and cost management on AWS.
• Support CI/CD, Infrastructure as Code (IaC), and DevOps best practices for data platforms.

Skills

AWS Data Engineering

ETL/ELT pipelines

Data governance

CI/CD

IaC

GenAI-assisted development

AI/ML use cases

Security

Education

BTech

BE

BSc

BCA

MTech

PhD

Tools

GitHub Copilot

GenAI-based SQL/code generation

AI-powered observability

ETL orchestration tools

Job description

We are looking for a highly skilled AWS Data Engineer with hands-on experience in modern cloud data platforms and practical exposure to AI-driven data engineering practices. The ideal candidate should have strong expertise in building scalable, secure, and high-performance data pipelines on AWS while leveraging Generative AI/LLM-assisted development, automation, and optimization techniques.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines on AWS cloud.
• Develop and maintain modern data lake and data warehouse architectures.
• Work with structured, semi-structured, and streaming data sources.
• Implement data transformation, orchestration, monitoring, and quality frameworks.
• Utilize AI-assisted development tools (e.g., GitHub Copilot, GenAI-based SQL/code generation, AI-powered observability) to improve productivity and engineering efficiency.
• Collaborate with Data Scientists, BI teams, and business stakeholders for analytics and AI/ML use cases.
• Ensure data governance, security, performance optimization, and cost management on AWS.
• Support CI/CD, Infrastructure as Code (IaC), and DevOps best practices for data platforms.

Qualifications

• Bachelor of Technology (BTech)
• Bachelor of Engineering (BE)
• Bachelor of Science (BSc)
• Bachelor of Computer Applications (BCA)
• Master of Technology (MTech)
• Doctor of Philosophy (PhD)