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
- Integral career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

📌 Senior Data Integration Engineer (México)
🏢 Epam Systems
📍 México