About The Opportunity
A fast-scaling tech consultancy in the Cloud Data Engineering & Analytics space, we partner with enterprise clients across India to build modern, 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
