Enterprise Data & Analytics Integrations Engineer
Core
Build and prototype integration solutions (APIs, Event-Driven Architectures) to empower Data & Analytics teams with timely, relevant data for consumer care brands.
Role type
Mid-level IC Enterprise Data & Analytics Integrations Engineer
Builds
Integration solutions for Data Products, APIs, and Event-Driven Architectures
Domain
Consumer healthcare / CPG / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python programming, API design, Event-Driven Architectures, Cloud architecture (Azure/AWS), Data management tools (Data Factory, Databricks, Snowflake), CI/CD pipelines, System integration patterns
Preferred skills
Azure architecture design, Migration/modernization strategies, IoT integrations, Kong API gateway, Kafka, Python FastAPI
Technologies
Python, Microsoft Azure, AWS, Azure Data Factory, Databricks, Snowflake, Bitbucket, Jenkins, Kong, Kafka, FastAPI
Responsibilities
Partner with cross-vendor teams to build integration solutions; Craft integration strategy for Data & Analytics use cases; Implement best practices for security, performance, and data management; Collaborate with data science and product teams on solutioning; Implement DevOps and DataOps methodologies; Design hybrid integration solutions (cloud-to-cloud, cloud-to-on-premise); Streamline costs through technology lifecycle management
Seniority
Mid-level, hands-on IC