Databricks Engineer with AWS

Overview In this role you will drive cloud-based data engineering initiatives using Databricks on AWS. You’ll work within a team to optimize data pipelines, performance, and data models that support analytics and business insights. You will collaborate on DevOps and CI/CD practices to accelerate delivery in a data-driven environment. This position offers hands-on work with leading cloud data services and a chance to shape scalable data solutions for enterprise workloads. The role is onsite in Boston, with a clear focus on delivering robust, performant data platforms. ResponsibilitiesDevelop and optimize Databricks-based data pipelines on AWSTune SQL queries for performance and reliabilityLeverage Azure services and cloud data lake concepts where applicableContribute to DevOps/CI-CD automation and orchestration workflowsSupport data warehousing and data modeling initiativesCollaborate with cross-functional teams to deliver data solutionsWork with Snowflake and Databricks in cloud environmentsParticipate in Agile processes and continuous improvement Key requirements9-12 years of experienceHands-on experience with AWS and DatabricksStrong SQL and complex query writingExperience with Snowflake and Azure cloud platformUnderstanding of data warehousing, data modeling, and data lake conceptsKnowledge of Azure Data Lake Storage, Azure SQL Database, and Azure EventHub/EventGrid is a plusDevOps, CI/CD, orchestration, and automation familiarityAgile methodology familiarityagile mindsetstrong collaborationproblem-solvingAWSDatabricksSnowflake