Position: Azure Data Engineer Location: Seattle, WA - Hybrid Duration: 12+Months - Extendable Experience: 12+ Years Top Skills: • 5+ years working in a data team in an enterprise environment using Azure data products and services (Azure Data Factory, Azure Blob, Azure SQL). The core function of the role is data ingestion and export to various enterprise systems. Must have demonstrated experience with Azure Data Factory. • 5+ years with Spark, SQL, and Python. This will show up with working with large sets of data in an enterprise environment. This person will be supporting initiatives from the Membership Tiered project - integrating data from multiple sources to create a unified view of customer interactions and membership activities. Modeling data sets, general infrastructure work, updates to CI/CD processes and going through the backlog of data tasks. • 5+ years designing and implementing data pipelines to move and transform data using Snowflake and Databricks - data Engineers are utilizing Snowflake as a data warehouse and Databricks for transformation. • Experience working with retail or customer data would make them a strong candidate Job Description: As an Engineer for Marketing Technology, you will be responsible for the development, support, configuration, and automation of the data infrastructure that supports our global marketing strategy. You will work closely with other data engineers, analysts, data scientists and marketers to build out new capabilities. The solutions you build will involve large datasets and system integrations in cloud environments. • Support identification and implementation of integration, modelling, and orchestration of complex data using relevant coding language(s) • Monitor and troubleshoot data engineering-related incidents • Support the development and maintenance of relevant documentation • Participate in knowledge transfer activities, issues, and risks Requirements: • Building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake..) • Proven record of success in Azure administration • Proven record of success in monitoring cloud infrastructure, applications, big data pipelines and ETL workflows • Experienced in managing outages, customer escalations, crisis management, and other similar circumstances. • Proficient with DevOps tools and environments like Azure DevOps, Jenkins, Gitlab, Ansible, Terraform. • Proficient in SQL, Spark SQL, Python, PySpark • Familiarity with agile software delivery methodologies • Knowledge of Digital Marketing (Email, Search-Engine Marketing, Social, Affiliate) or eCommerce