Role: AWS Data Engineer
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.
Skills:
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
Mandatory skills:
- 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
Role: AWS Data Engineer 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 Mu...
Role: AWS Data Engineer
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.
Skills:
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
Mandatory skills:
- 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
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