Data & AI Engineer – GenAI Platforms

Onelogica; Delhi; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Onelogica is hiring for a data engineering role focused on building scalable ETL/ELT pipelines on AWS. You will craft data lake and warehouse architectures, ingest and transform diverse data sources, and implement governance, security, and cost controls.

You will leverage AI-assisted tools to boost productivity and collaborate with data scientists and BI teams on analytics and AI/ML use cases in a cloud-first environment.

Qualifications

• Bachelors or higher in a technical field (BTech/BE/BSc/BCA/MTech/PhD).
• Experience designing ETL/ELT pipelines on AWS and building data platforms.
• Familiarity with data lake and data warehouse architectures.

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 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, IaC, and DevOps best practices for data platforms.

Skills

ETL Pipelines

AWS

Data Lakes

CI/CD

IaC

Data Governance

Collaboration

Education

BTech

BE

BSc

BCA

MTech

PhD

Tools

GitHub Copilot

GenAI SQL

AI Observability

Job description

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)