We are seeking a talented Senior Data Integration Engineer with strong AI familiarity to join our growing team. This position provides an opportunity to contribute to complex, meaningful data work within a cooperative, future-focused environment. You'll collaborate with colleagues who value technical mastery, ongoing education, and the hands-on use of cutting-edge technology. If you're eager to engineer dependable data pipelines while expanding your AI skillset, this role offers a solid pathway for career progression

Responsibilities

- Design and construct scalable, enduring data integration systems that fulfill both business and technical demands
- Collaborate with multidisciplinary teams to ensure deliverables are finished punctually and meet quality criteria
- Engage in architecture-related conversations, contributing viewpoints that influence data integration project direction
- Assess code developed by fellow engineers, offering practical feedback that maintains dependable engineering practices
- Investigate and work through intricate technical issues that surface throughout the data pipeline lifecycle
- Support junior colleagues' growth by sharing knowledge that reinforces their technical capabilities
- Participate in planning efforts, assisting with scope clarification and providing reliable time estimates
- Keep up with changing technology trends and incorporate worthwhile approaches into regular tasks
- Keep clear documentation of major technical decisions and data workflows to support lasting system stability
- Work in partnership with stakeholders to establish defined objectives and confirm work meets expectations

Requirements

- At least three years of applicable, relevant professional experience
- Functional knowledge of AI principles and tools,



used to enhance data integration solution development
- Advanced skill in Python for building and sustaining data integration applications
- Hands-on background operating within cloud environments built on Amazon Web Services
- Strong background in Data Integration, joining and consolidating data drawn from multiple sources
- Skilled in using SQL to organize, manage, and extract data from relational databases
- Familiarity with NoSQL database systems for handling unstructured and semi-structured data types
- Understanding of CI/CD practices supporting consistent, automated rollout of software and pipelines
- Working knowledge of Google Cloud Platform for managing and deploying cloud-centered data solutions
- Experience with Apache Airflow for scheduling and organizing data-related workflows
- Practical experience with Databricks or Snowflake for supporting large-scale data processing and analytics
- Hands-on knowledge of Apache Spark for examining and processing substantial datasets
- Awareness of SDLC Methodologies and their use in enabling organized, efficient project management
- Experience working in Agile settings that support iterative, team-oriented development practices
- Confident English communication skills at a B2 level or higher

We offer

- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- General career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Senior Data Integration Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina