Are you well versed in Azure Data Factory, Snowflake, and DBT, and are you looking for your next opportunity? This opportunity will enhance your data modeling in Snowflake and DBT with a company closing the gap between healthcare and financial systems. This role will be heavy within ETL pipelining so get ready to design, develop, and implement pipelines!
THE COMPANY
This world-class technology, information, and internet company is modernizing the business of healthcare through its platform. This company is committed to championing Data and AI through its platform. Does this excite you?
THE ROLE
Design, develop, and implement scalable batch/real-time data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse and Data Lake
Responsible for maintenance and support of all database environments, design and develop data pipelines, workflow, ETL solutions on both on-prem and cloud-based environments.
Design and implement data model changes that align with warehouse dimensional modeling standards.
Design, code, test, document and troubleshoot deliverables
YOUR SKILLS AND EXPERIENCE
A successful Lead Data Engineer within this role will likely have the following skills and experience:
Bachelor's degree in Business Administration, Computer Science, Data Systems or Data Analysis preferred
Has demonstrated proficiency in designing and developing Azure Data Factory Pipelines. (3 Years)
Must have Experience with at least one Columnar MPP Cloud data warehouse (Snowflake /Azure Synapse / Redshift) (3+ years)
Experience in ETL tools like Fivetran and DBT. (2 Years)
Strong Experience designing and implementing Data Warehouse. Working Knowledge of Azure Architecture, Data Lake