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 Spark
- Hadoop
- Flink





Database Technologies:- Deep knowledge of both relational (SQL) and NoSQL databases (e.g., Amazon DynamoDB). Data Governance

- AWS Lake Formation

Infrastructure as Code (IaC)

- Experience with:
- Terraform
- AWS CloudFormation

DataOps / CI/CD

- Version control using Git.
- Deployment automation using tools such as:
- Jenkins
- GitHub Actions
- AWS CodePipeline

Preferred Qualifications Certifications

Active AWS Certified Data Engineer. id="job-description"> 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 Spark
- Hadoop
- Flink

Database Technologies:- Deep knowledge of both relational (SQL) and NoSQL databases (e.g., Amazon DynamoDB). Data Governance

- AWS Lake Formation

Infrastructure as Code (IaC)

- Experience with:
- Terraform
- AWS CloudFormation

DataOps / CI/CD

- Version control using Git.
- Deployment automation using tools such as:
- Jenkins
- GitHub Actions
- AWS CodePipeline

Preferred Qualifications Certifications

Active AWS Certified Data Engineer.

- AWS Certified Solutions Architect.

Modern Data Stack Familiarity with:

- Databricks
- Snowflake

Why Join Ccube

At Ccube, we strive to create a supportive and growth-oriented work environment. Our employee value proposition includes:

- Energetic Work Culture

- Career Growth

- Learning & Development

- Compensation & Rewards

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📌 Sr AWS Data Engineer/AWS Data Architect (Madhya Pradesh)
🏢 Ccube
📍 Madhya Pradesh