What are the responsibilities and job description for the Sr AWS Data Engineer/AWS Data Architect position at Ccube?
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
At Ccube, we strive to create a supportive and growth-oriented work environment. Our employee value proposition includes:
Dynamic Work Culture
Career Growth
Learning & Development
Compensation & Rewards