Job Description
**RH**:Raul García**
**Position**:AWS Data Engineer
**Location**:Aguascalientes, Mexico
**Industry - Sector**:MALS
**What you’ll do?**
- Build and maintain end-to-end ETL pipelines on AWS using services like AWS Glue, AWS Lambda, Amazon Kinesis, and Amazon Redshift.
- Implement batch and real-time data processing workflows to integrate data from multiple sources.
- Design and implement data lakes using Amazon S3 to store structured and unstructured data.
- Build and optimize data warehouses using Amazon Redshift, ensuring efficient data storage and retrieval.
- Architect scalable and high-performance data solutions in the AWS Cloud using services such as AWS S3, AWS Glue, Amazon Redshift, Amazon RDS, Amazon Aurora, and Amazon DynamoDB.
- Ensure that data pipelines and data storage are optimized for performance, cost efficiency, and scalability.
- Design and implement data transformation logic using AWS Glue, AWS Lambda, or Apache Spark (running on AWS E...
**Position**:AWS Data Engineer
**Location**:Aguascalientes, Mexico
**Industry - Sector**:MALS
**What you’ll do?**
- Build and maintain end-to-end ETL pipelines on AWS using services like AWS Glue, AWS Lambda, Amazon Kinesis, and Amazon Redshift.
- Implement batch and real-time data processing workflows to integrate data from multiple sources.
- Design and implement data lakes using Amazon S3 to store structured and unstructured data.
- Build and optimize data warehouses using Amazon Redshift, ensuring efficient data storage and retrieval.
- Architect scalable and high-performance data solutions in the AWS Cloud using services such as AWS S3, AWS Glue, Amazon Redshift, Amazon RDS, Amazon Aurora, and Amazon DynamoDB.
- Ensure that data pipelines and data storage are optimized for performance, cost efficiency, and scalability.
- Design and implement data transformation logic using AWS Glue, AWS Lambda, or Apache Spark (running on AWS E...
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