Senior Data Engineer: AI-Driven Data Pipelines

EPAM Systems; Argentina; Remote; ARS 2,400,000 - 3,200,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling courses

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems, Inc. seeks a Senior Data Engineer to join our team in Argentina. You will build and maintain data pipelines, ensure schema consistency across the Unified Data Store, and connect external systems via our data platform.

Responsibilities include implementing the Field Mapper, Link Resolver, and Attribution Resolver, developing core signals, and maintaining data dictionaries. You will collaborate with global teams to deliver AI-enabled data solutions with strong telemetry.

Qualifications

• 3+ years hands-on Python engineering in data systems.
• Experience with AI data engineering practices for AI/ML systems.
• Proven data pipeline design to implementation.
• PostgreSQL data storage and querying experience.
• Ingestion with idempotence, upserts, and replay safety.
• Data quality, telemetry, and reconciliation reporting.
• Solid English communication for business requirements.

Responsibilities

• Migrate databases to ensure schema consistency across the Unified Data Store.
• Build and maintain Source Adapters to connect external systems into the data platform.
• Implement Field Mapper with per-project bindings to normalize fields.
• Implement Link Resolver for cross-family references across sources.
• Develop Attribution Resolver tracing change-to-ticket-to-area-to-test chains.
• Build Area Vocabulary and translation tables for consistent classification.
• Develop Signal Catalogue jobs for core signals with provenance capture.
• Own data dictionary across storage components and document incrementally.
• Collaborate with global teams to translate requirements into architectures.

Skills

Python engineering

Apache Airflow

ML concepts

Data pipeline development

PostgreSQL

Data quality telemetry

English fluency

Tools

Apache Airflow

PostgreSQL

Snowflake

Jira/JaaS APIs

QMetry/Zephyr APIs

Job description

EPAM Systems, Inc. seeks a Senior Data Engineer to join our team in Argentina. You will build and maintain data pipelines, ensure schema consistency across the Unified Data Store, and connect external systems via our data platform.

Responsibilities include implementing the Field Mapper, Link Resolver, and Attribution Resolver, developing core signals, and maintaining data dictionaries. You will collaborate with global teams to deliver AI-enabled data solutions with strong telemetry.