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Data Lake Cloud Engineer
3 months ago
Our Bethpage, New York client has a full time opportunity for a Data Lake Cloud Engineer who is 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.
- Remote Local
- Midlevel role in the Data Analytics team under Enterprise portfolio.
Job Summary:
- 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)