Senior Data Engineer — AI-Driven Analytics Platform Lead

EPAM Systems, Inc.; Colombia; A distancia; COP 120.000.000 - 210.000.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Senior Data Engineer to build a retail and omnichannel analytics platform. You will drive hands-on data engineering, platform best practices, and scalable architecture to support ingestion, transformation, and self-service analytics.

You will define AI-enabled development patterns, lead cross-functional collaboration, and mentor engineers while delivering end-to-end data products, trusted datasets, and governed consumption layers across enterprise analytics initiatives.

Formación

• 3+ years of data engineering experience.
• Strong leadership and mentoring abilities.
• Proven project delivery across end-to-end analytics lifecycles.
• Proficiency in SQL for analytics and performance tuning.
• Experience with Spark / PySpark and Databricks.

Responsabilidades

• Design scalable data ingestion, transformation, and data product frameworks.
• Define Databricks best practices for medallion layers, governance, and performance.
• Build batch and near real-time pipelines using Databricks and Spark.
• Deliver end-to-end data products for retail and omnichannel analytics use cases.
• Develop trusted analytical datasets, semantic models, and governed consumption layers.
• Implement data quality, lineage, monitoring, and observability standards.
• Lead PoCs to evaluate and adopt new platform capabilities.
• Define AI SDLC and AI-assisted development patterns for engineering teams.
• Mentor engineers on reusable frameworks and operational excellence.

Conocimientos

Databricks

Apache Spark

PySpark

SQL

Leadership

Mentoring

Python

Herramientas

Databricks

Apache Spark

PySpark

Descripción del empleo

EPAM Systems, Inc. seeks a Senior Data Engineer to build a retail and omnichannel analytics platform. You will drive hands-on data engineering, platform best practices, and scalable architecture to support ingestion, transformation, and self-service analytics.

You will define AI-enabled development patterns, lead cross-functional collaboration, and mentor engineers while delivering end-to-end data products, trusted datasets, and governed consumption layers across enterprise analytics initiatives.