AWS Data Engineer
ClifyX
AWS Data Engineer
Location: Tampa, FL/Boston, MA/Dallas, TX (Remote until COVID)
Duration: 6 Months Plus
Job Description: Further requirements and responsibilities are as follows:
• Develop solutions using cutting edge AWS database technologies.
• Conduct research on different approaches to data storage in AWS.
• Learn all aspects of AWS Databases and storage patterns to include, Amazon Aurora, Relational Database Service (RDS), Dynamo, Neptune, TimeSeries, Elasticache, Athena, and Document DB.
• Contribute and drive operationalization of new technologies ensuring compliance with policy and standards.
• Partner with full stack development teams to create databases in AWS using a DevSecOps mindset and principles.
• Develop data migration plans to migrate legacy on-premises databases into AWS data stores.
• Work on indexing, replicating, and performing disaster recovery services across multiple AWS regions.
Good understanding of traditional performance tuning approaches using EXPLAIN PLAN, Query Plan Management etc.
• Writing, designing, testing, implementing, and maintaining database applications using SQL and Procedural Languages like Pg/PLSQL or other languages.
• Monitor system performance metrics to identify potential risks/issues. Good understanding of Monitoring services such as CloudWatch and Auditing tools like CloudTrail.
• Design and develop end to end automated solutions for a wide variety of databases, data.
• Identify manual processes that can be automated.
• Implement systems that are highly available, scalable, and self-healing.
• Determine and document technical requirements of projects to ensure that specifications are met.
• Work closely with Infrastructure teams during implementation of solutions.
• Participate in testing and quality assurance aspects of projects.
• Automate source code management using BitBucket.
• Integrate automated test with CI/CD pipelines.
• Provide post implementation production support as needed.
• Present and demo automation solutions to technical and business stakeholders.
• Leverage skills to develop proof of concepts for projects.
• Contribute to overall automation framework design and enhancement.
Preferred experience, education, or training should include:
• Degree in Computer Science or related discipline
• AWS Certified Database - Specialty
• 5+ years' experience in database administration and engineering
• 2+ years' experience on AWS Platform around automated provisioning of services
• Hands-on experience on AWS Database Migration Service
• Desire business application development experience in BI/Internet technology stack
• Experience with CHEF is highly desired
• Experience with Bitbucket, Jenkins, Git and CI/CD pipeline
• Good understanding of database code release management tools like Liquibase or similar toolset.
• Knowledge of AWS Glue service.
• Development scripting experience with Python and Ruby/Groovy
• Contribute to overall automation framework design and enhancement
• Experience with Terraform is an added benefit
• Experience in Agile / Scrum
• Experience with at least one RDBMS such as Microsoft SQL Server, Oracle, Sybase
• Knowledge of and experience with basic aspects of Linux system administration
• Excellent communication and presentation skills
• Extensive history designing, coding, implementing, and supporting Infrastructure/Operations-side automation solutions in a corporate environment
• Creative problem solver with excellent diagnostic abilities
• Minimum of 5 years' experience developing end to end automation solutions
• Minimum of 7 years' IT experience in software development and/or engineering
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