We are expanding with a Senior Data Software Engineer who can build scalable data platforms and apply AI tools to strengthen data-driven solution choices. In this role, you will develop Python data processing services and real-time streaming with Apache Kafka Streams and Apache Flink on Amazon Web Services, while supporting Agile and CI/CD delivery.
ResponsibilitiesDesign and build maintainable data solutions that satisfy business and technical objectivesCollaborate with cross-functional teams to ensure timely delivery and high-quality outcomesProvide input in architecture discussions to guide data-focused project directionReview teammates’ code and offer constructive feedback to reinforce good engineering practiceDiagnose and resolve complex technical problems across the development and data processing lifecycleSupport junior engineers’ growth by sharing knowledge and strengthening their technical abilitiesJoin planning conversations to help define scope and deliver accurate time estimatesStay up to date on technology trends and apply valuable approaches in daily workMaintain clear documentation of technical decisions and data workflows to preserve stabilityWork closely with stakeholders to align on objectives and ensure results match expectationsRequirementsA minimum of 3 years of relevant professional experiencePractical knowledge of AI concepts and tools leveraged to improve data-driven solution designStrong proficiency in Python for building and maintaining data processing applicationsExperience with Apache Kafka Streams for managing real-time data streaming pipelinesHands-on knowledge of Apache Flink for processing and analyzing large-scale streaming dataPractical experience within an Amazon Web Services cloud environmentCapability to use SQL to organize, manage, and retrieve data from relational databasesFamiliarity with NoSQL database technologies for unstructured or semi-structured data handlingUnderstanding of CI/CD practices for consistent, automated software and data pipeline releasesSolid background in Data Software Engineering building reliable and scalable data-centric systemsKnowledge of SDLC Methodologies and their implementation to support efficient executionExperience working in Agile frameworks to enable iterative, collaborative developmentFluent English communication skills at a B2 (Upper-Intermediate) level or higherWe offerInternational projects with top brandsWork with integral teams of highly skilled, diverse peersHealthcare benefitsEmployee 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 LinkedIn

📌 Senior Data Software Engineer (Quilmes)
🏢 EPAM Systems
📍 Quilmes