We are seeking a Senior Data Integration Engineer to shape trusted, analytics-ready account datasets by transforming raw interaction and telemetry data into consistent models and metrics. You will partner closely with stakeholders to enable reliable reporting and AI-ready semantic foundations.

Responsibilities

- Design and deliver production-grade data models that represent account health, engagement velocity, and intent signals
- Integrate structured and unstructured sources into consistent account-level dimensions and facts
- Establish shared modeling patterns, naming conventions, and metric definitions to reduce ambiguity across datasets
- Build and maintain a semantic layer that standardizes metric computation across analytical tools
- Prepare clean, context-rich datasets optimized for retrieval, search, and reasoning by AI-driven workflows
- Implement automated tests, schema validations, and freshness monitoring to improve data reliability
- Coordinate access controls, auditability, and governance practices for sensitive pipeline and interaction data
- Collaborate with cross-functional partners to document lineage, ownership, and usage guidance for key datasets
- Deliver self-service models and documentation that help analysts and product teams query confidently
- Contribute to sprint planning, design reviews, and technical standards to ensure predictable delivery

Requirements

- 3+ years experience in analytics engineering, data engineering, or data architecture roles
- Strong project delivery skills working in agile sprints, contributing to planning and design reviews
- Advanced SQL expertise with window functions, CTEs, complex joins, and query optimization
- Strong Snowflake expertise with performance tuning, access control, and platform features such as Time Travel and zero-copy cloning




- Production dbt experience building modular projects with macros, tests, incremental models, and snapshots
- Strong data modeling skills in Kimball dimensional modeling, including star schemas and SCD patterns
- Solid version control skills with Git workflows, code reviews, and CI-based validation
- Strong communication skills to document datasets, align on definitions, and support self-service usage
- Upper-Intermediate English proficiency (B2)

Nice to have

- Experience building BI analytics and visualization models for Tableau, Looker, or Power BI
- Data governance experience with metadata and lineage tools such as Alation, Collibra, DataHub, or dbt Docs
- Gen AI application development experience using Snowflake Cortex functions such as embeddings, search, or LLM utilities
- Python for data analytics experience with Pandas for data manipulation or automation
- RAG applications development knowledge including chunking strategies and retrieval-augmented generation

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

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 (Colombia)
🏢 EPAM Systems
📍 Colombia