Senior Data Integration Engineer - AI-Ready Cloud Pipelines

EPAM Systems Inc; Argentina; Remote; ARS 1,500,000 - 2,100,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior Data Integration Engineer to design scalable cloud-based data pipelines using Python, SQL, Airflow, Spark, and Databricks/Snowflake. You will partner with cross-functional teams to deliver high-quality integrations and advance AI capabilities.

Ideal candidates have 3+ years in data integration, strong cloud experience (AWS, GCP), and hands-on Spark/ETL tooling, with excellent English communication and a collaborative mindset.

Qualifications

• Minimum 3 years of relevant professional experience in data integration.
• Strong functional knowledge of AI principles and tools applied to data integration.
• Advanced proficiency in Python for data integration apps.
• Hands-on cloud experience in AWS and GCP.
• Solid SQL skills for relational data management.
• Familiarity with NoSQL databases for unstructured data.
• Understanding of CI/CD for automated deployments of pipelines.
• Experience with Airflow to schedule and monitor workflows.
• Experience with Databricks or Snowflake for large-scale processing.
• Experience with Apache Spark for data processing.
• Excellent English communication skills (B2 level or higher).

Responsibilities

• Design scalable, long-lasting data integration systems meeting business and technical needs.
• Collaborate with cross-functional teams to deliver work on time and with quality.
• Review peers’ code and provide actionable feedback to ensure reliable engineering practices.
• Troubleshoot complex issues across the data pipeline lifecycle.
• Mentor junior colleagues and share knowledge to strengthen skills.
• Stay current with evolving technologies and introduce valuable approaches.
• Maintain clear documentation of key technical decisions and data workflows.
• Partner with stakeholders to define goals and verify outcomes meet expectations.

Skills

Python

Airflow

AWS

SQL

NoSQL

CI/CD

GCP

Spark

Databricks

Snowflake

English

Tools

Databricks

Snowflake

Apache Spark

Google Cloud Platform

Job description

EPAM Systems Inc. is seeking a Senior Data Integration Engineer to design scalable cloud-based data pipelines using Python, SQL, Airflow, Spark, and Databricks/Snowflake. You will partner with cross-functional teams to deliver high-quality integrations and advance AI capabilities.

Ideal candidates have 3+ years in data integration, strong cloud experience (AWS, GCP), and hands-on Spark/ETL tooling, with excellent English communication and a collaborative mindset.