Opportunity Description
CTG is seeking an experienced AWS Data Engineer to design, develop, and optimize enterprise-scale data engineering solutions within the AWS Cloud ecosystem. The ideal candidate will have extensive experience building data lakes, data warehouses, batch and streaming data pipelines, and cloud-native ETL/ELT solutions using AWS services and modern open-source technologies.
**Location:** Armonk, NY
**Duration:** 6 months
**Primary Responsibilities**
+ Design, build, and maintain scalable AWS data engineering solutions.
+ Develop end-to-end data pipelines for ingestion, transformation, storage, and analytics.
+ Build batch and real-time data processing solutions using AWS Glue, EMR, Kinesis, Spark, and Kafka.
+ Design and implement enterprise data lakes and data warehouse architectures.
+ Develop ETL/ELT workflows using Python, SQL, Spark, and AWS-native services.
+ Migrate enterprise data from on-premises environments to AWS using AWS DM...
**Location:** Armonk, NY
**Duration:** 6 months
**Primary Responsibilities**
+ Design, build, and maintain scalable AWS data engineering solutions.
+ Develop end-to-end data pipelines for ingestion, transformation, storage, and analytics.
+ Build batch and real-time data processing solutions using AWS Glue, EMR, Kinesis, Spark, and Kafka.
+ Design and implement enterprise data lakes and data warehouse architectures.
+ Develop ETL/ELT workflows using Python, SQL, Spark, and AWS-native services.
+ Migrate enterprise data from on-premises environments to AWS using AWS DM...