Protecting the digital way of life by building tools and automation for consulting services
Requirements
- Experience with complex Structured Query Language (SQL), preferably within a data warehouse environment such as Google BigQuery
- Experience in developing scalable backend solutions and APIs with complex architectures using Python
- Proficiency in developing cloud-native solutions, such as Google Cloud Platform (GCP) or another major CSP
- Experience with large-scale data processing and ETL frameworks, preferably Google Dataflow (Apache Beam)
- Experience designing and implementing Infrastructure as Code (IaC), preferably using Terraform
Responsibilities
- Take ownership of the full data lifecycle, from improving data quality at the source to optimizing how it's stored and served in our BigQuery-based data warehouse
- Partner directly with stakeholders across the company to translate complex business requirements into robust, scalable data analytics solutions
- Democratize data access across our consulting practice by building and enhancing AI-powered tools
- Continuously improve our team's development practices by refining CI/CD pipelines, enhancing observability and alerting, and managing our platform using modern infrastructure-as-code with Terraform
- Partner directly with stakeholders in Sales, Finance, and Operations to translate complex business requirements into robust, scalable data analytics solutions in Google BigQuery
Other
- At least 3 years of experience in technical roles
- Ability to communicate complex technical issues to peers and potentially non-technical audiences
- Basic understanding of business practices in technical consulting firms (e.g., retainers, project-based work)
