Senior Data Software Engineer (Rancagua)

OverviewWe are seeking a Senior Data Software Engineer to join our team remotely. This position requires a seasoned professional with deep expertise in Apache Spark, Microsoft Azure, and Python. You will contribute to a high-impact project for a globally recognized brand, developing cutting-edge data solutions that support innovation and business growth.ResponsibilitiesWork collaboratively with cross-functional teams to design, implement, and maintain data integration systemsBuild and enhance data pipelines using Apache Spark, Microsoft Azure, and PythonEnsure data pipelines are reliable, scalable, and maintainableAdapt data science models for production environmentsDevelop forecasting models to support strategic business decision-makingMaintain high levels of data quality and consistency across all sourcesMonitor and optimize data pipelines to ensure efficient processing and performanceCollaborate with data scientists to design and implement machine learning modelsContinuously refine data integration systems to meet changing business needsStay informed about emerging technologies and best practices in data software engineeringRequirementsMinimum of 3 years of experience in data software engineering or related rolesAdvanced knowledge of Apache Spark, Microsoft Azure, and PythonStrong understanding of forecasting models, data science workflows, and MLOps principlesHands-on experience with Databricks for building and optimizing data pipelinesProven ability to operationalize data science models for production useProficiency in Git for version control and team collaborationSolid grasp of Azure concepts, including clouds, regions, ADLS, and compute servicesExceptional analytical and problem-solving skills with a creative approach to technical challengesFamiliarity with Agile methodologies and development environmentsAdvanced English communication skills, both written and spoken, at a B2+ levelNice to haveExperience with Panda for data manipulation and analysisStrong knowledge of SQL and relational database systemsUnderstanding of statistical models and experience developing them with Python or SparkFamiliarity with machine learning tools and related technologiesWe offerInternational projects with top brandsWork with integral teams of highly skilled, diverse peersEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInSeniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology, Engineering, and Business DevelopmentIndustriesSoftware Development, IT Services and IT Consulting, and Retail #J-

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