AMIRI BUILDING ENGINEERING INC dba 120 DEGREEZ
AWS Data Engineer
AMIRI BUILDING ENGINEERING INC dba 120 DEGREEZ, Reston, Virginia, United States, 22090
GG Tech Global Inc is seeking an AWS Data Engineer to strengthen their data infrastructure team in Reston, VA. This role focuses on developing scalable data solutions and optimizing data workflows. The team aims to integrate and transform diverse data sources to support company growth.In this role you can expect to have the responsibilities:
Design and maintain data pipelines using AWS services including AWS Glue, Amazon Redshift, and AWS Lambda.Integrate data from various sources like relational databases, APIs, and file systems to ensure data consistency.Develop and automate ETL processes using Python.Administer AWS-based data storage solutions such as Amazon RDS, Amazon Aurora, and Amazon DynamoDB, applying data modeling best practices.Monitor and optimize data pipeline performance to resolve bottlenecks.Collaborate with data scientists, analysts, and team members to meet data requirements.Adhere to security best practices and compliance requirements, implementing data access controls and encryption when necessary.Document data pipelines, processes, and systems comprehensively.Troubleshoot and resolve issues related to data pipelines, integration, and data quality.This role comes with the following benefits:
nullThis role requires you to have:
AWS cloud servicesPython programmingETL processesData integrationDatabase managementPerformance optimizationSecurity and complianceTroubleshootingYou would benefit from having:
Data science collaborationThe position is in Reston, VA, with expected hours of 40 per week. The candidate should ideally be able to commute to the office.
#J-18808-Ljbffr
Design and maintain data pipelines using AWS services including AWS Glue, Amazon Redshift, and AWS Lambda.Integrate data from various sources like relational databases, APIs, and file systems to ensure data consistency.Develop and automate ETL processes using Python.Administer AWS-based data storage solutions such as Amazon RDS, Amazon Aurora, and Amazon DynamoDB, applying data modeling best practices.Monitor and optimize data pipeline performance to resolve bottlenecks.Collaborate with data scientists, analysts, and team members to meet data requirements.Adhere to security best practices and compliance requirements, implementing data access controls and encryption when necessary.Document data pipelines, processes, and systems comprehensively.Troubleshoot and resolve issues related to data pipelines, integration, and data quality.This role comes with the following benefits:
nullThis role requires you to have:
AWS cloud servicesPython programmingETL processesData integrationDatabase managementPerformance optimizationSecurity and complianceTroubleshootingYou would benefit from having:
Data science collaborationThe position is in Reston, VA, with expected hours of 40 per week. The candidate should ideally be able to commute to the office.
#J-18808-Ljbffr