About The Opportunity
A fast-scaling tech consultancy in the Cloud Data Engineering & Analytics space, we partner with enterprise clients across India to build up-to-date, scalable data platforms on AWS. Our engineers design and deploy data pipelines, data lakes, and analytics architectures that turn raw data into real-time business insights—leveraging AWS-native services, IaC, and DevOps best practices to deliver speed, reliability, and security at scale.

Role & Responsibilities
- Design, build, and maintain scalable AWS data pipelines using Glue, Lambda, Step Functions, and EMR.
- Develop and optimize data lakes on S3 with partitioning, cataloging (Glue Data Catalog), and governance controls.
- Automate infrastructure provisioning and deployments using Terraform, CloudFormation, and CI/CD pipelines.
- Implement real-time streaming data workflows using Kinesis, MSK, or DynamoDB Streams integrated with downstream analytics tools.




- Ensure data quality and reliability through monitoring (CloudWatch), alerting, and pipeline testing frameworks.
- Collaborate with analytics teams to model data warehouses (Redshift, Athena) and enable self-service BI (QuickSight, Looker).

Skills & Qualifications
Must-Have
- AWS Glue
- AWS Lambda
- AWS S3
- Terraform
- Apache Airflow
- SQL
- Python
- Amazon Redshift

Preferred
- Amazon Kinesis
- AWS Step Functions
- Apache Spark on EMR

Benefits & Culture Highlights
- Work on high-impact, client-facing AWS data projects with autonomy and technical ownership.
- Growth path into Lead Data Engineer or Cloud Solutions Architect roles within 18–24 months.
- Flexible work hours within on-site structure + regular upskilling and AWS certification sponsorship.

Skills: apache,amazon,cloud,glue,aws,data

📌 AWS Data Engineer (Hyderabad)
🏢 Viraaj HR Solutions Private
📍 Hyderabad