Sr. Data Engineer

Overview As a Sr. Data Engineer, you will shape our data infrastructure by leveraging AWS services to design, build, and optimize large-scale data pipelines. You will partner with data scientists and analysts to deliver reliable analytics-ready data and performant data stores. Your work will span cloud-based processing, Python automation, and big data frameworks to drive operational efficiency and data-driven insights. This role offers the chance to impact cloud data architecture across multiple sites while collaborating with cross-functional teams. ResponsibilitiesManage cloud data infrastructure using AWS services (EMR, DynamoDB, S3, Lambda)Develop and maintain Python scripts and applications for data processing automationImplement and manage data workflows with PySpark and Databricks for large-scale datasetsDesign and maintain SQL databases for performance and data integrityIntegrate data from multiple sources to support analytics and reportingPerform system upgrades, troubleshooting, and compliance checks to ensure secure operationsCollaborate with data scientists, analysts, and stakeholders to meet data needsTravel to local and remote sites as needed to support objectives Key requirementsProven data engineering experience with cloud services and big data technologiesProficiency in AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQLStrong troubleshooting skills to resolve complex technical issuesExcellent verbal and written communication skillscommunicationcollaborationproblem-solvingAWS EMRDynamoDBS3