Senior Data Engineer

4 days ago

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ZayZoon

WebsiteLinkedInAll Job Openings

Payroll • Employee Wellness • Financial Wellness • Financial Planning • Financial Literacy

51 - 200

💰 $13M Debt Financing on 2022-08

Description

• Our goal is to save ten-million hard-working employees ten-billion dollars. • We are a values driven, well-funded, and fast-growing Financial Technology and HR company. • We want to empower small and midsize businesses with financial tools that make them the place where people want to work. • We’ve created a financial empowerment platform that helps small but mighty HR teams make a big impact on employee financial wellness. • ZayZoon is quickly becoming the employee financial wellness super-app that employees can’t live without. • Reporting to the Director of Data & Analytics, the Senior Data Engineer will be responsible for ensuring the reliability and integrity of our application databases from data storage to processing in our application infrastructure. • We are looking for a talented and curious self-starter who is driven to solve complex problems while working collaboratively with multiple stakeholders.

Requirements

• Database Management: Administer and maintain databases (e.g Postgres, Redshift, DynamoDB) for high availability, performance and scalability. • You'll create and manage data pipelines. If data is moving from one system to another or is required for better Analytics or systems enablement, you'll be the point person to make that happen. • Performance tuning: Monitor and benchmark database performance and implement tuning recommendations to optimize query performance, indexing and storage efficiency. • Security & Governance: Implement and maintain database security best practices, including user access control, encryption, and auditing to meeting compliance requirements (e.g. GDPR, PCI) • Scaling, Replication & Clustering: Set up and manage replication, clustering and failover strategies for high availability and disaster recovery. Assist in scaling database infrastructure to support growing data volumes and transaction loads. • Automation: Automate routine database tasks such as backups, monitoring, patching and configuration management. • Collaboration: Work closely with application developers to optimize database design and queries, troubleshoot issues, and deploy new features.