Senior Data Infrastructure Engineer

Summary

Join Libertas Funding, LLC as a Sr. Data Infrastructure Engineer and be responsible for designing, implementing, and maintaining data infrastructure builds that scale and extend to other areas of the company's technology and software development.

Requirements

• Ability to architect new APIs and maintain APIs
• Deep knowledge & understanding of the AWS stack, especially AWS Data-related Resources such as: Glue, Redshift, RDS, Athena
• Python
• MySQL, postgres
• Version Control (git and data version control)
• CI/CD Integration in AWS DevOps
• Docker, docker-compose, Kubernetes
• Serverless experience
• Experience configuring monitoring / alerting different attributes in AWS
• Proven experience implementing infrastructure as code (IaC) using Terraform / Ansible
• 7+ years of software engineering (4+ as data engineer) experience designing, developing, and delivering application solutions for enterprise-level development and integration projects
• Strong communication skills and previous experience working with cross-functional business groups
• Experience with maintaining, updating, and integrating data pipelines and data warehouses
• Proficiency in capture and maintenance of data in SQL and NoSQL databases
• Proficiency in fast-paced software engineering team, following software engineering development cycles
• Strong analytical and problem-solving skills with a focus on solving business problems
• Experience working in Agile software development processes
• Deep knowledge of Continuous Integration and Delivery and how to build deployment pipelines and infrastructure that empowers development teams
• Experience with CloudWatch, IAM, Lamdba
• Terraform, Cloud Formation, Puppet, or other Infrastructure as Code (IaC) technologies
• Proficiency in Git, Git Actions, and Git workflows
• Experience with logging and monitoring tools
• Strong development skills while implementing best practices in development to prevent breaking changes
• Knowledge of data governance best practices, including data quality/integrity and privacy

Responsibilities

• Scope, design, and implement repeatable automation of the data, build, test, deploy and release processes
• Automate the timely and accurate delivery of reporting and analytics data
• Build and maintain robust, observable (ETL) data pipelines
• Update and maintain AWS cloud and on-premises data warehouse configuration and components
• Investigate and remediate technical issues
• Create and maintain documentation as it relates to system configuration, mapping, processes, and service records
• Builds and maintains continuous integration and continuous delivery (CI/CD) technologies
• Provides technical expertise at building and managing infrastructure as code (IaC)
• Maintains performance and SLA metrics for build/release systems
• Collaborates within the development team to enable the team to meet goals and objectives
• Proactively document and communicate knowledge to enable others to quickly solve the next challenge
• Adhere to compliance procedures and internal/operational risk controls in accordance with all applicable regulatory standards, requirements, and policies