Senior Data Software Engineer

EPAM Systems; Argentina; A distancia; ARS 92.909.000 - 154.849.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee learning programs

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Descripción de la vacante

EPAM Systems Inc. is hiring a Senior Data Software Engineer to deliver resilient data platforms and pragmatic AI-enabled data solutions.

You will design and evolve streaming pipelines with Python, Apache Kafka Streams, and Apache Flink on AWS, partnering with stakeholders across teams. Responsibilities include designing scalable data solutions, collaborating to meet deadlines and quality standards, reviewing peer code, and maintaining long-term documentation.

Formación

• 3+ years of professional experience in data software engineering.
• Hands-on with real-time streaming and data pipelines.
• Experience in AWS cloud environments and SQL/NoSQL databases.
• Strong understanding of CI/CD practices and Agile work styles.

Responsabilidades

• Design and build scalable, maintainable data solutions aligned with goals.
• Develop resilient streaming pipelines using Python, Kafka Streams, and Flink.
• Collaborate across teams to meet quality and delivery expectations.
• Review code and provide actionable feedback to improve engineering practices.
• Maintain documentation of data workflows and key technical decisions.
• Stay current with tech trends and apply them to day-to-day work.

Conocimientos

Python

SQL

AI concepts

Data software engineering

Herramientas

Apache Kafka Streams

Apache Flink

AWS

Descripción del empleo

We are hiring a Senior Data Software Engineer to deliver resilient data platforms while applying practical AI across data-driven solutions. You will build and evolve streaming pipelines with Python, Apache Kafka Streams, and Apache Flink on Amazon Web Services, partnering closely with teams and stakeholders.ResponsibilitiesDesign and build scalable, maintainable data solutions aligned with business and technical goalsCollaborate with cross-functional teams to deliver on time and meet agreed quality standardsContribute to architecture discussions and help steer data-focused project directionReview peer code and provide actionable feedback that reinforces strong engineering practicesInvestigate and resolve complex technical issues across development and data processing lifecyclesSupport junior team members by sharing knowledge that strengthens their technical skillsParticipate in planning sessions by shaping scope and providing accurate time estimatesStay current with technology trends and apply useful approaches in day-to-day workMaintain clear documentation of key technical decisions and data workflows for long-term stabilityWork with stakeholders to define clear objectives and ensure outcomes match expectationsRequirementsMinimum 3 years of relevant professional experiencePractical knowledge of AI concepts and tools applied to improve data-driven solution designStrong proficiency in Python for developing and maintaining data processing applicationsHands-on experience with Apache Kafka Streams to run real-time data streaming pipelinesWorking knowledge of Apache Flink for large-scale streaming data processing and analysisPractical experience operating in an Amazon Web Services cloud environmentAbility to use SQL to model, manage, and query relational databasesFamiliarity with NoSQL database technologies for unstructured or semi-structured dataUnderstanding of CI/CD practices that support consistent, automated releases for software and data pipelinesSolid background in Data Software Engineering with a focus on reliable, scalable data-centric systemsKnowledge of SDLC Methodologies and how to implement them for structured, efficient deliveryExperience working within Agile frameworks for iterative, collaborative developmentFluent English communication skills at a B2 (Upper-Intermediate) level or higherWe offerInternational projects with top brandsWork with global 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