We are looking for an experienced AWS Data Engineer to design, build, and optimize scalable data solutions across cloud platforms.

Requirements

Design, develop, and maintain scalable ETL pipelines using AWS services such as Glue, Lambda, Kinesis, Step Functions, and EMR
Create and manage AWS Glue crawlers and jobs for automated data ingestion and cataloging across structured and unstructured data sources
Build and optimize data workflows using Apache Airflow and PySpark
Design and manage data warehouse solutions using AWS Redshift, including performance tuning and query optimization
Develop and maintain data models, data design frameworks, and source-to-target mappings (STTM)
Enable seamless data consumption for analytics and reporting tools such as QuickSight, SageMaker, and other BI platforms
Work with S3, RDS, and other AWS storage services to manage large-scale data efficiently
Ensure data quality through automated testing, code coverage, and validation processes
Support UAT, deployment, and go-live activities for data solutions
Monitor and optimize cluster performance and resource utilization
Implement security and governance practices using IAM and CloudTrail
Collaborate with teams using version control systems like Git or SVN for code management

We are looking for an experienced AWS Data Engineer to design, build, and optimize scalable data solutions across cloud platforms.

Design, develop, and maintain scalable ETL pipelines using AWS services such as Glue, Lambda, Kinesis, Step Functions, and EMR
Create and manage AWS Glue crawlers and jobs for automated data ingestion and cataloging across structured and unstructured data sources
Build and optimize data workflows using Apache Airflow and PySpark
Design and manage data warehouse solutions using AWS Redshift, including performance tuning and query optimization
Develop and maintain data models, data design frameworks, and source-to-target mappings (STTM)
Enable seamless data consumption for analytics and reporting tools such as QuickSight, SageMaker, and other BI platforms
Work with S3, RDS, and other AWS storage services to manage large-scale data efficiently
Ensure data quality through automated testing, code coverage, and validation processes
Support UAT, deployment, and go-live activities for data solutions
Monitor and optimize cluster performance and resource utilization
Implement security and governance practices using IAM and CloudTrail
Collaborate with teams using version control systems like Git or SVN for code management

AWS Data Engineer