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Database Engineer with Redshift at Remote, Remote, USA

Email: [email protected]

http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=146666&uid=

From:
Amit,
Risamsoft, Inc
[email protected]
Reply to: [email protected]

Database Engineer
Redshift is the key skill

Technical skills:
Experience in designing operations architecture and conduct performance engineering for large scale data lakes in production environment
Experience in deploying and administering AWS Redshift, columnar data lake, and SQL query engines.
Experience in automating provisioning, operation, monitoring and troubleshooting of the database and data lake infrastructure.
Experience in creating and maintaining optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services or using data management technologies hosted on AWS.
Experience inproviding consistent database maintenance, optimization and best practices inputs to existing Redshift and SQL databases, data lake, SQL engines, and applications.
Experience inproviding Disaster Recovery (DR) planning and execution with RPO/RTO objectives and SLAs.
Experience with SQL analysis, development and troubleshooting activities, including data warehousing, analytical applications development and support.
Experience with Integrating and assemble large, complex data sets using AWS services such as Glue that meet a broad range of business requirements

Keywords:
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10:40 PM 16-Nov-22

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amit@risamsoft.com wrote:
From:
                                   Amit,
                                   Risamsoft, Inc                                            
       amit@risamsoft.com
       Reply to:   amit@risamsoft.com

Database Engineer
Redshift is the key skill

Technical skills:
 Experience in designing operations architecture and conduct performance engineering for large scale data lakes in production environment
 Experience in deploying and administering AWS Redshift, columnar data lake, and SQL query engines.
 Experience in automating provisioning, operation, monitoring and troubleshooting of the database and data lake infrastructure.
 Experience in creating and maintaining optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services or using data management technologies hosted on AWS.
 Experience inproviding consistent database maintenance, optimization and best practices inputs to existing Redshift and SQL databases, data lake, SQL engines, and applications.
 Experience inproviding Disaster Recovery (DR) planning and execution with RPO/RTO objectives and SLAs.
 Experience with SQL analysis, development and troubleshooting activities, including data warehousing, analytical applications development and support.
 Experience with Integrating and assemble large, complex data sets using AWS services such as Glue that meet a broad range of business requirements

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