Senior Data Engineer

September 5

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Ancillary Employee Benefits • Digital and Mobile Health • Software • Consumer Packaged Goods

201 - 500

Description

•Build and maintain data pipelines to ingest data from internal and external sources into our data lake •Develop and maintain our data warehouse •Build and maintain our overall data platform to support the needs of the organization •Work with teams to develop and deploy machine learning resources

Requirements

•5+ years of experience working as an engineer with cloud data architecture (AWS, GCP), preferably in an insurance domain •2-3 years of Data warehousing experience •2-3 years of Advanced Python experience in Python •2-3 years of Infrastructure-as-code experience •2-3 years of Proficient in SQL concepts, such as window functions •1-2 years Experience using Workflow orchestration tools such as Dagster or Airflow •Experience working with Docker •Familiar with transformation tools such as dbt •Experience with SaaS ETL tools such as Fivetran •BI visualization administration experience such as Tableau or Looker •Ability to read Ruby code is a plus •Experience working with SaaS data such as Salesforce, Hubspot, and Google Analytics is a plus •Nice to have Machine learning operations experience

Benefits

•N/A