Senior Data Integration Engineer: AI-Driven Pipelines (Snowflake)

EPAM Systems Inc; Colombia; Remote; COP 89,280,000 - 156,240,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior Data Integration Engineer to build and operate scalable data pipelines in AWS and GCP using Python, SQL, Airflow, Spark, and Databricks or Snowflake. You will collaborate with cross-functional teams to ensure reliable, scalable data flows and align with AI initiatives.

Responsibilities include evaluating colleague code, guiding juniors, planning estimates, and documenting data workflows to support system stability and good practices across the data platform.

Qualifications

• 3+ years of data integration experience in complex environments.
• Strong Python and SQL capabilities for building ETL/ELT pipelines.
• Experience with cloud platforms (AWS, GCP) and orchestration (Airflow).

Responsibilities

• Build scalable and durable data integration systems aligned with business requirements.
• Coordinate with multidisciplinary teams to ensure timely, quality deliverables.
• Guide junior colleagues and share knowledge to raise engineering standards.
• Document key decisions and data workflows to support stability and auditability.

Skills

Python

SQL

Airflow

Spark

Databricks

Snowflake

AWS

GCP

CI/CD

NoSQL

English

Tools

AWS

GCP

Airflow

Job description

EPAM Systems Inc. is seeking a Senior Data Integration Engineer to build and operate scalable data pipelines in AWS and GCP using Python, SQL, Airflow, Spark, and Databricks or Snowflake. You will collaborate with cross-functional teams to ensure reliable, scalable data flows and align with AI initiatives.

Responsibilities include evaluating colleague code, guiding juniors, planning estimates, and documenting data workflows to support system stability and good practices across the data platform.