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 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 Linked

In Learning library and 22,000+ courses

Integral career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

InEPAM 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. #J-18808-Ljbffr

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