Assemble and implement a pattern language across the data stack to ensure accurate event taxonomy and tables.Orchestrate complex data flow patterns across many different tools.Identify data requirements for business and product teams, as well as metrics and analytical requirements.Assist the Analytics Engineering team in ensuring the data warehouse's performance and dependability.Make data frameworks that aid with data quality, integrity, integration, and self-service.Design, create and own strong, scalable data processing and data integration pipelines using Python, dbt, Kafka, Fivetran, Airflow/Dagster, Spark, REST API endpoints, and Microservices.Ingest data from a range of external data sources to Snowflake & S3.Build, maintain, and operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS services.This will be an exciting opportunity for the developer to build unique, innovative products.
The company has managed to raise more than $600 mn during their Series D round of funding. The company is dedicated to providing customers with the best cannabis products from leading brands. The selected candidate will be tasked with defining the next generation of data warehouse and data lake architecture, its roles, and access management. A leading all-in-one technology platform that is powering the cannabis industry with advanced solutions is looking for a Senior Data Engineer.
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