(Remote w/5% travel) DevOps Engineer
3 weeks ago
Job Summary
Responsible for the day-to-day administration, technical support, troubleshooting, maintenance, upgrades, patching, performance and overall health of an enterprise data analytics platform within an AWS/Serverless/clustered linux server environment. Ensure high levels of data availability and reliability of the systems. Respond effectively to the continuing demands for information 24/7 by business clients, contractors, and other areas of IT.
Job Responsibilities
Responsibilities include but not limited to:
* Comply with policies and procedures for the administration of the data analytics platform, maintenance and upgrades of platform/extension software (starburst, tableau, etc...), and oversight of backups of all platform storage. Establish and maintain schemas for user tests and production purposes (i.e., Redshift, AWS Glue, Starburst).
* Work closely with business clients in understanding data access requirements and ensuring proper performance of transactions within the data platform in support of complex business application development requirements and processes
* Develops and implements CI/CD processes for build, testing, and deployment of data pipelines into the platform.
* Monitors data platform for performance issues and implements solutions for on-going platform maintenance
* Work closely with Product Managers and vendors on new systems, enhancements, and upgrades to the data platform environment
* Proactively seek out ways to improve performance and streamline data platform environment
* Ensure high levels of data availability and reliability of the systems therein
* Participate in Disaster Recovery planning, testing and execution
* Installs, modifies, maintains, and configures aws service high availability (HA) options.
* Assists in troubleshooting issues affecting platform reliability and uptime availability.
Job Specific Qualifications
Required Education and Experience:
Bachelor's degree in Computer Science or Science, Technology, Engineering or Math (STEM)
A minimum of 4 years of experience with SQL-based databases and /or datalakes
Experience in AWS tools and services, data analytics and BI tools, databases and/or datalakes
Knowledge of the software development lifecycle
Solid knowledge of business processes
Demonstrated analytical skills
Strong communication skills both verbal and written
Demonstrated ability to make sound decisions
Demonstrated ability to work effectively with clients and all levels of staff
Experience in building OR deploying python-based applications
Desired:
Experience implementing off the shelf products
Experience with mission critical technology solutions
Ability to lead teams with a leadership mindset
Experience with AWS Data Analytics services (Glue, Athena, Redshift, LakeFormation, etc )
Experience with federated query engines (Starburst/Trino, Presto/Prestissimo, Apache Ranger)
Experience with serverless application deployments (Lambda, Azure functions, GCP functions)
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