Senior Data Engineer- AWS

XenonStack; Mohali; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

XenonStack is seeking a Senior Data Engineer – AWS to design, build, and optimize enterprise-scale data systems on AWS, enabling AI-driven workflows and Agentic Systems.

You will architect data pipelines, implement streaming and real-time processing, and collaborate with AI/ML teams to deliver training data and inference-ready datasets.

Qualifications

• 5–8 years of data engineering with 3+ years AWS-specific experience.
• Proficiency in Python, PySpark, Java/Scala, and SQL.
• Knowledge of Terraform/CloudFormation for infrastructure-as-code.
• Familiarity with AI pipelines, vector databases, and agentic workloads is a plus.
• AWS Data Analytics Specialty or Solutions Architect certification preferred.

Responsibilities

• Architect data pipelines and analytics platforms on AWS (EMR, Glue, Redshift, Athena).
• Implement streaming and real-time workflows with Kinesis, Kafka, and Lambda.
• Build and optimize ETL/ELT frameworks using Glue and AWS Step Functions.
• Manage data lakes (S3, Lake Formation) and ensure cost-efficient scaling.
• Collaborate with AI/ML teams to deliver training data and inference-ready datasets.
• Implement monitoring, security, and governance aligned with AWS Well-Architected Framework.

Skills

AWS services

Python

PySpark

Java/Scala

SQL

Terraform/CloudFormation

AI pipelines knowledge

Vector databases

Tools

Terraform/CloudFormation

Job description

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling enterprises to gain real-time and intelligent business insights .

Inference AI Infrastructure for Agentic Systems → nexastack.ai

Our mission is to accelerate the world’s transition to AI + Human Intelligence by building scalable, reliable, and intelligent data platforms .

THE OPPORTUNITY We are seeking a Senior Data Engineer – AWS with expertise in Amazon-native data platforms . You will design, build, and optimize enterprise-scale data systems on AWS, enabling AI-driven workflows and Agentic Systems .

KEY RESPONSIBILITIES

Architect data pipelines and analytics platforms on AWS (EMR, Glue, Redshift, Athena).

Implement streaming and real-time workflows with Kinesis, Kafka, and Lambda.

Build and optimize ETL/ELT frameworks using Glue and AWS Step Functions.

Manage data lakes (S3, Lake Formation) and ensure cost-efficient scaling.

Collaborate with AI/ML teams to deliver training data and inference-ready datasets .

Implement monitoring, security, and governance aligned with AWS Well-Architected Framework.

SKILLS & QUALIFICATIONS

5–8 years of data engineering with 3+ years AWS-specific experience .

Proficiency in Python, PySpark, Java/Scala, and SQL .

Knowledge of Terraform/CloudFormation for infrastructure-as-code.

Familiarity with AI pipelines, vector databases, and agentic workloads is a plus.

AWS Data Analytics Specialty or Solutions Architect certification preferred.

WHY SHOULD YOU JOIN US?

Agentic AI Product Company

Architect data systems that power enterprise-grade AI agents .

A Fast-Growing Category Leader

Join one of the fastest-growing AI Foundries , trusted by Fortune 500 enterprises.

Career Mobility & Growth

Progress into roles such as Principal Data Architect, Head of Data Platforms, or AI Systems Architect .

Global Exposure

Work with enterprises worldwide on mission-critical data systems .

Create Real Impact

Your designs will directly influence AI adoption, enterprise intelligence, and business outcomes .

Culture of Excellence

Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — give you autonomy to innovate and accountability to deliver.

Responsible AI First

Ensure data platforms are not just powerful, but trustworthy, explainable, and compliant .

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe in shaping the future of intelligent systems . We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.

Our Cultural Values

Agency – Be self-directed and proactive.

Taste – Sweat the details and build with precision.

Ownership – Take responsibility for outcomes.

Mastery – Commit to continuous learning and growth.

Impatience – Move fast and embrace progress.

Customer Obsession – Always put the customer first.

Our Product Philosophy

Obsessed with Adoption – Making AI-ready data architectures accessible and enterprise-grade.

Obsessed with Simplicity – Turning complex data challenges into seamless, intuitive systems.

Be a part of our mission to accelerate the world’s transition to AI + Human Intelligence — by architecting the trusted data platforms that power enterprise AI adoption .