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Cloud Data Engineer(AWS)

In United States

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Cloud Data Engineer(AWS)   

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JOB TITLE:

Cloud Data Engineer(AWS)

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Atlanta, GA | Fort Worth, TX | Omaha, NE United States

JOB DESCRIPTION:

Title : Cloud Data Engineer (AWS) Location : Atlanta, GA / Fort Worth, TX / Omaha, NE Rate: On C2C Job Description: Responsibilities The cloud data engineer responsibilities will include but not be limited to the following: Design, development, and implementation of scalable Cloud-based data solutions. Support our services that focus on data technologies, including Amazon Aurora, DynamoDB, Redshift, Athena, as well as AWS Database Migration Service, Data Pipeline, Glue and more. Provide expertise and perspective on cloud development and infrastructure initiatives, including automations and data migration from on premise systems. Collaborate with the data engineers, operations and architects along with system and networking engineers on projects, architectural design, implementation strategy as well as scripting. Demonstrate proficiency in the design, installation, deployment, and support of complex data environments. Strong focus on promoting automation and DevOps best practices along with infrastructure, application, and security monitoring. Education Bachelor's degree in Information Science, Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR equivalent experience in a technical position Experience 8+ years of professional experience in a dynamic environment with a primary focus within Cloud services. Advanced administration experience with (1) of the following Database engines: MySQL / MariaDB / SQL Server / Amazon Aurora Expertise with building, deploying, and supporting cloud data platform in Amazon Web Services including but not limited to technologies: Aurora, RedShift, RDS, Data Lakes, SQL Server, MySQL, Elasticsearch, S3, DynamoDB, Hadoop, SQL, Python, Linux, ElasticCache, Redis, MongoDB, Cassandra Database and SQL query performance tuning experience. Familiarity with: gathering database performance metrics, analyzing explain plans, and presenting/implementing recommendations. Coding and development experience using SQL or T-SQL languages Experienced setting up monitoring and alerting for production data environments Experience with data backup and recovery strategies at database and table levels Ability to create operational and technical documentation Expertise in AWS with a focus on data security. Automation with shell scripting, python, and AWS APIs. Automating system configuration and management tasks Knowledge, Skills, Abilities   Candidates must possess good analytical skills, as well as written and oral communication skills. Ability to work well in a dynamic team environment and independently. Ability to work independently and in an Agile team environment Data migration and ETL experience Exposure to security concepts / best practices Experience Troubleshooting the full application stacks from the OS up through custom applications Experience with both high-availability and disaster recovery data service configurations in a cloud environment preferred. Understanding of microservice architecture fundamentals and best practices as applicable to data management

Position Details

POSTED:

Oct 06, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16534944526025610

LOCATION:

United States

CITY:

Atlanta, GA | Fort Worth, TX | Omaha, NE

Job Origin:

OORWIN_ORGANIC_FEED

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In Dallas Fort Worth
Aug 19, 2017 9am-6pm
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Cloud Data Engineer(AWS)    Apply

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Title : Cloud Data Engineer (AWS) Location : Atlanta, GA / Fort Worth, TX / Omaha, NE Rate: On C2C Job Description: Responsibilities The cloud data engineer responsibilities will include but not be limited to the following: Design, development, and implementation of scalable Cloud-based data solutions. Support our services that focus on data technologies, including Amazon Aurora, DynamoDB, Redshift, Athena, as well as AWS Database Migration Service, Data Pipeline, Glue and more. Provide expertise and perspective on cloud development and infrastructure initiatives, including automations and data migration from on premise systems. Collaborate with the data engineers, operations and architects along with system and networking engineers on projects, architectural design, implementation strategy as well as scripting. Demonstrate proficiency in the design, installation, deployment, and support of complex data environments. Strong focus on promoting automation and DevOps best practices along with infrastructure, application, and security monitoring. Education Bachelor's degree in Information Science, Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR equivalent experience in a technical position Experience 8+ years of professional experience in a dynamic environment with a primary focus within Cloud services. Advanced administration experience with (1) of the following Database engines: MySQL / MariaDB / SQL Server / Amazon Aurora Expertise with building, deploying, and supporting cloud data platform in Amazon Web Services including but not limited to technologies: Aurora, RedShift, RDS, Data Lakes, SQL Server, MySQL, Elasticsearch, S3, DynamoDB, Hadoop, SQL, Python, Linux, ElasticCache, Redis, MongoDB, Cassandra Database and SQL query performance tuning experience. Familiarity with: gathering database performance metrics, analyzing explain plans, and presenting/implementing recommendations. Coding and development experience using SQL or T-SQL languages Experienced setting up monitoring and alerting for production data environments Experience with data backup and recovery strategies at database and table levels Ability to create operational and technical documentation Expertise in AWS with a focus on data security. Automation with shell scripting, python, and AWS APIs. Automating system configuration and management tasks Knowledge, Skills, Abilities   Candidates must possess good analytical skills, as well as written and oral communication skills. Ability to work well in a dynamic team environment and independently. Ability to work independently and in an Agile team environment Data migration and ETL experience Exposure to security concepts / best practices Experience Troubleshooting the full application stacks from the OS up through custom applications Experience with both high-availability and disaster recovery data service configurations in a cloud environment preferred. Understanding of microservice architecture fundamentals and best practices as applicable to data management


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