Data Engineer

Overview As a Data Engineer, you will design, build, and maintain robust data pipelines that support reporting, analytics, and downstream insights in a cloud-first environment. You will collaborate with analytics and business teams to deliver high-quality datasets and scalable data solutions. The role focuses on unifying diverse data sources, refining data models, and ensuring stable, secure cloud-based data environments. This is a chance to shape enterprise data architecture and improve data workflows for faster, more reliable decision-making. You will work in a consultative, cross-functional setting to drive data engineering best practices and deliver measurable impact. ResponsibilitiesDesign, build, and maintain data pipelines to move and transform data from multiple sourcesDevelop integration processes for structured and unstructured data for analytics and reportingImprove speed, reliability, and scalability of data workflows through tuning and optimizationCreate and refine data models supporting BI, analytics, and decision-makingAdminister and enhance cloud-based data environments for stability, security, and performancePartner with analytics and business teams to deliver accessible, high-quality datasetsImplement ETL solutions using Python, Spark, and cloud-native servicesContribute to data engineering best practices, documentation, and cross-functional collaboration Key requirementsStrong engineering fundamentals in data systemsExperience with designing and maintaining data pipelinesProficiency with Python and SparkExperience with cloud-based data platforms and servicesAbility to work with both structured and unstructured dataCollaborative, cross-functional communicationUnderstanding of data modeling for BI and analyticscollaborationcommunicationproblem-solvingPythonSparkcloud-native services