(Remote w/5% travel) DevOps Engineer

2 weeks ago

Miami, United States PSEG Long Island LLC Full time

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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