Engineer - Analytics and Integrations
Skills
API TestingIntegration ArchitectureSQLData AnalyticsData ArchitectureData PipelinesEnterprise Integration
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 6–8+ years of experience in data engineering analytics engineering integration engineering or related disciplines
- Expert-level SQL skills
- Strong Python development experience including API development and automation
- Experience with Snowflake dbt Fivetran AWS Lambda and Power BI
- Experience designing and consuming REST APIs
- Ability to work directly with business stakeholders and lead technical initiatives from concept through production
- Strong communication and problem-solving skills
- Authorization to work in the United States without current or future employer sponsorship
Nice to have
- Workato experience
- iPaaS experience
- AI-assisted development tools
- Git and CI/CD experience
- Acquisition-driven environment experience
Day to day
- Lead analytics and integration initiatives by partnering with business stakeholders to gather requirements and prioritize solutions
- Design and maintain scalable data pipelines and cloud-native data solutions using Python SQL Snowflake dbt Fivetran and AWS Lambda
- Build enterprise integrations with Workato including custom connectors recipes workflows standards and deployment practices
- Support acquisition integration and improve data quality observability governance and self-service analytics across the platform