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About the role
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: Dynamic Work Culture Career Growth Learning & Development Compensation & Rewards
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