What are the responsibilities and job description for the AWS Data Engineer (12+ yrs) - Full Time position at Saransh Inc?
Role: AWS Data Engineer
Location: Plano, TX (Onsite from Day 1)
Job Type: Full Time
Experience Required: 12 years
Job Description
Data science, MuleSoft, Kafka connect, SQL, Data visualization
The Opportunity
Location: Plano, TX (Onsite from Day 1)
Job Type: Full Time
Experience Required: 12 years
Job Description
- We are looking for a Data Engineer to design, build, and optimize scalable data platforms on AWS.
- The ideal candidate has strong experience with Snowflake, Kafka, MuleSoft, and AWS-native analytics services, and can support both real-time and batch data processing while enabling reporting and advanced analytics.
Data science, MuleSoft, Kafka connect, SQL, Data visualization
The Opportunity
- Design, develop, and maintain scalable data pipelines using AWS services
- Build and manage cloud-based data lakes on Amazon S3
- Implement and optimize Snowflake data models for reporting and analytics
- Develop real-time streaming solutions using Apache Kafka
- Integrate enterprise systems using MuleSoft APIs and connectors
- Deploy and manage containerized data workloads on AWS EKS
- Write and optimize complex queries using Amazon Athena
- AWS Cloud Services (S3, Athena, EKS, IAM, monitoring)
- Snowflake (data modeling, performance tuning, reporting)
- Apache Kafka (streaming, producers/consumers, real-time pipelines)
- MuleSoft (API-based integrations, enterprise data flows)
- Amazon EKS (container orchestration, deployment)
- Querying Tools: Amazon Athena
- Data Lakes: S3-based data lake architecture
- Reporting: Snowflake reporting layer
- Analytics & Visualization: Tableau