We're seeking a capable Senior Data Integration Engineer with solid AI expertise to join our organization. This role presents the opportunity to tackle intricate, high-value data projects within a cooperative, innovation-focused setting. You'll become part of a team that prioritizes technical mastery, ongoing refinement, and real-world use of sophisticated technology. For someone driven to construct dependable, well-organized data pipelines while expanding their AI knowledge, this position offers a solid trajectory for career growth

Responsibilities

- Plan and construct scalable, sustainable data integration systems that align with business and technical goals
- Partner with teams across different functions to ensure work is finished punctually and meets quality expectations
- Participate in architecture-focused discussions, sharing input that helps direct data integration project outcomes
- Assess code authored by fellow engineers, offering constructive notes that maintain strong engineering standards
- Diagnose and resolve intricate technical problems that emerge throughout the data pipeline's lifecycle
- Help junior colleagues grow by passing along knowledge that builds their technical competencies
- Engage in planning conversations, assisting with scope outlines and delivering reliable time projections
- Keep pace with changing technology trends and incorporate beneficial new methods into regular work
- Preserve organized documentation of significant technical decisions and data processes to support system longevity
- Collaborate directly with stakeholders to define clear goals and confirm finished work matches expectations

Requirements

- At least three years of applicable, hands-on professional background
- Hands-on familiarity with AI principles and tools,



used to enhance data integration solution design
- Advanced command of Python for developing and sustaining data integration systems
- Direct experience operating within cloud infrastructure built on Amazon Web Services
- Strong background in Data Integration, linking and unifying information from varied sources
- Able to apply SQL for organizing, managing, and extracting information from relational databases
- Working knowledge of NoSQL database systems for managing unstructured or semi-structured content
- Awareness of CI/CD practices that support consistent, automated releases for software and pipelines
- Functional understanding of Google Cloud Platform for managing and deploying cloud-centered data solutions
- Background working with Apache Airflow for coordinating and scheduling data-related workflows
- Hands-on familiarity with Databricks or Snowflake for handling large-scale data processing and analysis
- Practical skill with Apache Spark for handling and analyzing extensive datasets
- Familiarity with SDLC Methodologies and their application in supporting organized, efficient project work
- Background operating within Agile structures to support collaborative, iterative development cycles
- Confident English communication abilities at a B2 level or above

We offer

- International projects with top brands
- Work with integral 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
- Global 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