Architect and build the Data Warehouse, ETL processes, framework, and the BI environment
Recognize and handle the data requirements of all business stakeholders
Use Cloud Platforms to build scalable and fault-tolerant data applications that can store and analyze terabytes of data from upstream sources while maintaining high availability
Create and manage systems in the company's analytical environment to match identities and anonymize data
Collaborate with information architects, platform architects, data scientists, and product management on solution requirements to design solutions
Work with the quantitative teams to figure out what data is needed
Create systems that allow for the quick and accurate extraction of information from all healthcare, device, and behaviour data
Create and manage procedures that ingest, transform, enrich, and store a mix of structured (healthcare data, EHR, PROs, Devices, etc.) and unstructured (notes, radiology images, etc.) data while ensuring data quality
Participate in the development, implementation, and quality assurance of products
Make suggestions for process improvements in terms of data gathering, consumption, and storage
Resolve high-impact issues/projects by examining complicated business processes, system processes, and organizational standards and procedures in detail
Ensure that data management policies and procedures are followed
Take ownership for the development, testing oversight, and production implementation using BigQuery, Pub/Sub, Data Catalog, DataFlow, and GCP
Maintain databases and file systems that are upstream and downstream of the data warehouse
Job Requirements:
Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
At least 4+ years of relevant experience as a data engineer
Prior experience as a Data Warehouse, BI, and ETL Technical Lead
Proficiency and working knowledge of ETL, data warehousing, data lake technologies, and analytics concepts
Experience owning multiple mission-critical applications on big data platform
Conversant with batch and real-time data pipelines in a DevOps environment
Willingness to work in a fast-paced environment with globally located Agile teams
Prolific skills in developing and maintaining strong collaborative relationships at all levels across business stakeholders
Prior work experience working in healthcare and payer claims data
Experience working with provider EHR data
Excellent written and oral communication skills
Adept and presenting complex topics, influencing and executing with timely/actionable follow-through