Senior Data Integration Engineer

EPAM Systems; Argentina; Presencial; ARS 136.660.000 - 227.766.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

Upskilling & certifications

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Award-winning culture

Descripción de la vacante

EPAM Systems seeks a Senior Data Integration Engineer to transform raw interaction and telemetry data into analytics-ready, consistent models and metrics. You will collaborate with stakeholders to enable reliable reporting and AI-ready semantic foundations.

You will design production-grade data models for account health, integrate diverse data sources, and establish standardized metric definitions while building a semantic layer for cross-tool consistency.

Formación

• 3+ years in analytics engineering, data engineering, or data architecture roles.
• Strong project delivery skills in agile sprints, contributing to planning and design reviews.
• Advanced SQL with window functions, CTEs, complex joins and query optimization.
• Snowflake expertise, including Time Travel and zero-copy cloning.
• Production dbt experience with modular projects (macros, tests, incremental models, snapshots).
• Kimball dimensional modeling knowledge (star schemas, SCD).
• Version control with Git and CI-based validation.

Responsabilidades

• Design and deliver production-grade data models for account health and engagement metrics.
• Integrate structured and unstructured sources into consistent account dimensions and facts.
• Establish modeling patterns, naming conventions, and metric definitions.
• Build a semantic layer standardizing metric computation across tools.
• Prepare clean datasets optimized for AI-driven workflows.
• Implement automated tests, schema validations, and data freshness monitoring.
• Coordinate access controls, auditability, and governance of sensitive data.
• Document lineage, ownership, and usage guidance for key datasets.
• Deliver self-service models and documentation for analysts and product teams.
• Contribute to sprint planning, design reviews, and technical standards.

Conocimientos

Advanced SQL

Snowflake

dbt

Kimball modeling

Git workflows

English B2

Herramientas

Git

dbt

Snowflake

Descripción del empleo

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