Sr AWS Data Engineer/AWS Data Architect

You are passionate about AWS and Data, and Ccube is looking for a highly skilled Senior AWS Data Engineer / Data Architect to join their growing data and cloud team in Indore. In this role, you will be responsible for designing enterprise-scale data architectures, building robust data pipelines, and implementing scalable cloud-native data platforms on AWS. Your expertise in strategic architecture and hands-on engineering capabilities will be crucial in transforming complex data into actionable business insights while ensuring security, scalability, governance, and cost optimization. Key Responsibilities: - Design secure, scalable, and future-proof enterprise data lakes, data warehouses, and analytics platforms on AWS. - Build and maintain automated, real-time, and batch ETL/ELT data pipelines using distributed processing frameworks. - Create conceptual, logical, and physical data models to support reporting, advanced analytics, and machine learning initiatives. - Monitor, troubleshoot, and optimize AWS resources for maximum performance and cost efficiency (FinOps). - Implement data governance, metadata management, masking, and encryption standards in compliance with industry regulations. - Mentor junior data engineers and collaborate closely with Data Scientists, Product Managers, and DevOps teams to align data solutions with business goals. Qualifications 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. - Advanced proficiency in Python, Scala, Java. - Expertise in distributed computing frameworks such as Apache Spark, Hadoop, Flink. - Deep knowledge of both relational (SQL) and NoSQL databases (e.g., Amazon DynamoDB). - Experience with Terraform, AWS CloudFormation, DataOps / CI/CD, version control using Git, and deployment automation using tools such as Jenkins, GitHub Actions, AWS CodePipeline. Why Join Ccube: At Ccube, they strive to create a supportive and growth-oriented work environment. Their employee value proposition includes a dynamic work culture, career growth opportunities, learning & development initiatives, and competitive compensation & rewards. (Note: Company-specific additional details are not included in the Job Description.) You are passionate about AWS and Data, and Ccube is looking for a highly skilled Senior AWS Data Engineer / Data Architect to join their growing data and cloud team in Indore. In this role, you will be responsible for designing enterprise-scale data architectures, building robust data pipelines, and implementing scalable cloud-native data platforms on AWS. Your expertise in strategic architecture and hands-on engineering capabilities will be crucial in transforming complex data into actionable business insights while ensuring security, scalability, governance, and cost optimization. Key Responsibilities: - Design secure, scalable, and future-proof enterprise data lakes, data warehouses, and analytics platforms on AWS. - Build and maintain automated, real-time, and batch ETL/ELT data pipelines using distributed processing frameworks. - Create conceptual, logical, and physical data models to support reporting, advanced analytics, and machine learning initiatives. - Monitor, troubleshoot, and optimize AWS resources for maximum performance and cost efficiency (FinOps). - Implement data governance, metadata management, masking, and encryption standards in compliance with industry regulations. - Mentor junior data engineers and collaborate closely with Data Scientists, Product Managers, and DevOps teams to align data solutions with business goals. Qualifications 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. - Advanced proficiency in Python, Scala, Java. - Expertise in distributed computing frameworks such as Apache Spark, Hadoop, Flink. - Deep knowledge of both relational (SQL) and NoSQL databases (e.g., Amazon DynamoDB). - Experience with Terraform, AWS CloudFormation, DataOps / CI/CD, version control using Git, and deployment automation using tools such as Jenkins, GitHub Actions, AWS CodePipeline. Why Join Ccube: At Ccube, they strive to create a supportive and growth-oriented work environment. Their employee value proposition includes a dynamic work culture, career growth opportunities, learning & development initiatives, and competitive compensation & rewards. (Note: Company-specific additional details are not included in the Job Description.)