AWS Data Engineer

Actively Reviewing the Applications

Viraaj HR Solutions Private Limited

India, Bhubaneswar, Odisha Full-Time On-site INR 8–30 LPA

Posted 2 months ago • Apply by May 2, 2026

Job Description

Primary title: AWS Data Engineer

A leader in Cloud & Big Data Analytics, operating in the enterprise data engineering and business intelligence sector. We build scalable, secure data platforms and real-time analytics solutions on AWS that power reporting, machine learning, and operational decisioning for enterprise clients. This role is fully on-site in India and delivers production-grade data pipelines and data-lake/warehouse architectures.

Role & Responsibilities

Design, build, and operate scalable ETL/ELT data pipelines on AWS to ingest, transform, and deliver high-quality data for analytics and ML.
Implement and manage data lake and warehouse solutions using S3 and Redshift, including partitioning, vacuuming, and query optimisation for cost and performance.
Develop PySpark/Apache Spark jobs and serverless functions (Glue, Lambda) and orchestrate workflows with Apache Airflow or AWS Step Functions.
Automate infrastructure deployment with Terraform or CloudFormation and integrate data pipelines into CI/CD pipelines for reliable releases.
Monitor pipeline health and performance using CloudWatch, logging, metrics and implement alerting and remediation strategies.
Collaborate with data scientists, analysts, and stakeholders to define data contracts, enforce data quality, and productionize models and datasets.

Skills & Qualifications

Must-Have

Proficiency with core AWS data services: S3, Glue, Redshift, Lambda, EMR, Kinesis
Strong experience with Apache Spark and PySpark for large-scale transformations
Advanced SQL and data modeling skills for analytics and reporting
Experience with workflow orchestration using Apache Airflow or AWS Step Functions
Infrastructure-as-code experience using Terraform or CloudFormation
Production-grade Python development, testing, and CI/CD practices

Preferred

Familiarity with streaming architectures and Kafka or AWS Kinesis streaming patterns
Experience with containerization and orchestration: Docker and Kubernetes
AWS certifications such as AWS Certified Data Analytics or AWS Solutions Architect

Benefits & Culture Highlights

On-site role with exposure to enterprise-scale AWS data platforms and cross-functional teams.
Learning-first culture with opportunities for certification and technical upskilling.
Competitive compensation and career growth into data platform or engineering leadership.

Location: India

Workplace: On-site
Keyword focus: AWS Data Engineer, ETL, PySpark, Redshift, AWS Glue, Data Lake, Apache Airflow, Terraform. Skills: aws lambda,kubernetes,glue,docker,git,apache spark,terraform,python,sql,aws