Enterprise Data Engineer – MuleSoft Integration

Mogi I/O is a company specializing in OTT, Podcast, and Short Video Apps. They are seeking an experienced Data Engineer to design, build, and optimize scalable cloud-based data platforms on AWS, focusing on enterprise-grade data lakes and advanced analytics solutions.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS services
• Build and manage cloud-based data lakes using Amazon S3
• Implement and optimize Snowflake data models for analytics and reporting
• Develop real-time streaming solutions using Apache Kafka
• Integrate enterprise systems using MuleSoft APIs and connectors
• Deploy and manage containerized data workloads on Amazon EKS
• Write and optimize complex queries using Amazon Athena
• Monitor system performance and ensure reliability and scalability
• Collaborate with analytics and business teams to support reporting needs
• Implement best practices for security, governance, and data quality
• Support CI/CD processes for data engineering workflows
• Stay updated with emerging cloud and data engineering technologies

Requirements:

• 12+ years of experience in Data Engineering or related field
• Strong expertise in AWS Cloud Services (S3, Athena, EKS, IAM, Monitoring)
• Hands-on experience with Snowflake (data modeling, performance tuning, reporting layer)
• Experience with Apache Kafka (real-time streaming, producers/consumers, pipelines)
• MuleSoft experience (API-based integrations, enterprise data flows)
• Experience managing containerized deployments on Amazon EKS
• Strong SQL skills and experience with Amazon Athena
• Experience building S3-based Data Lake architectures
• Reporting and analytics experience using Snowflake and Tableau
• Strong analytical and problem-solving skills
• Python-based ETL development experience
• CI/CD pipeline implementation for data workflows
• Infrastructure as Code (Terraform or CloudFormation)
• Experience working with large-scale, high-volume data systems