Senior Data Engineer- AWS

XenonStack Moments; Sahibzada Ajit Singh Nagar; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading technology firm in India is seeking a Senior Data Engineer to design and optimize enterprise-scale data systems on AWS. The ideal candidate will have 5–8 years in data engineering with a focus on AWS services and strong proficiency in Python and SQL. This full-time position offers a chance to work on impactful AI-driven projects and advance into roles such as Principal Data Architect.

Qualifications

• 5–8 years of data engineering experience.
• 3+ years of AWS-specific experience.
• 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.
• Manage data lakes (S3, Lake Formation) and ensure cost-efficient scaling.

Skills

AWS data services expertise

Python

PySpark

Java/Scala

SQL

Terraform/CloudFormation knowledge

Job description

Overview

Senior Data Engineer – AWS role at XenonStack Moments. Design, build, and optimize enterprise‑scale data systems on AWS to enable 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.
• Strong expertise in AWS data services (S3, Glue, Redshift, Athena, EMR, Kinesis).
• 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 Join Us

• Architect data systems that power enterprise‑grade AI agents.
• Fast‑growing AI foundry trusted by Fortune 500 enterprises.
• Career mobility and growth to roles such as Principal Data Architect, Head of Data Platforms, or AI Systems Architect.
• Global exposure working with enterprises worldwide on mission‑critical data systems.
• Real impact on AI adoption, enterprise intelligence, and business outcomes.
• Culture of excellence with values: Agency, Taste, Ownership, Mastery, Impatience, Customer Obsession.
• Responsible AI – trustable, explainable, and compliant data platforms.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology