Passionate about AWS and Data? Ccube wants you on the team
We are looking for a highly skilled Senior AWS Data Engineer / Data Architect to join our growing data and cloud team in Indore. The ideal candidate will be responsible for designing enterprise-scale data architectures, building robust data pipelines, and implementing scalable cloud-native data platforms on AWS.
This role requires a blend of strategic architecture expertise and hands-on engineering capabilities to transform complex data into actionable business insights while ensuring security, scalability, governance, and cost optimization.Experience Required
5+ years of overall experience in Data Engineering.
2+ years of hands-on experience in AWS Data Architecture and Cloud Data Platforms.
Proven experience designing and implementing enterprise-scale data solutions.

Data Architecture:- Design secure, scalable, and future-proof enterprise data lakes, data warehouses, and analytics platforms on AWS.
Pipeline Engineering:- Build and maintain automated, real-time,



and batch ETL/ELT data pipelines using distributed processing frameworks.
Data Modeling:-Create conceptual, logical, and physical data models to support reporting, advanced analytics, and machine learning initiatives.
Cloud Optimization:- Monitor, troubleshoot, and optimize AWS resources for maximum performance and cost efficiency (FinOps).
Governance & Security:- Implement data governance, metadata management, masking, and encryption standards in compliance with industry regulations.
Leadership & Collaboration:- Mentor junior data engineers and collaborate closely with Data Scientists, Product Managers, and DevOps teams to align data solutions with business goals.
Must-Have Technical Skills
AWS Core Services
Amazon S3
Amazon Redshift
AWS Glue
Amazon EMR
Amazon Kinesis
AWS IAM

Programming Languages
Advanced proficiency in:
Python
Scala
Java

Data Processing
Expertise in distributed computing frameworks such as:
Apache

📌 Sr Aws Data Engineer/aws Data Architect Indore
🏢 Ccube
📍 Indore