Senior AI-Driven Data Integration Engineer

EPAM Systems; México; Remote; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare benefits

Global career opportunities

Paid time off and sick leave

Upskilling and certification courses

Job summary

EPAM Systems is seeking a Senior Data Integration Engineer with strong AI knowledge to design and implement scalable data pipelines. You will collaborate with multinational teams on complex data projects, applying best practices in data integration, cloud engineering, and AI-driven solutions.

You will work with technologies like Python, AWS, GCP, Apache Airflow, Spark, and Snowflake, while contributing to architecture discussions and mentoring peers in a fast-evolving environment.

Qualifications

• Minimum 3 years of relevant professional experience.
• Practical knowledge of AI concepts and tools.
• Strong Python proficiency for data integration applications.
• Experience with AWS cloud environments.
• Experience with SQL databases.
• Familiarity with NoSQL databases.
• Knowledge of CI/CD practices.
• Experience with Google Cloud Platform.
• Experience with Apache Airflow.
• Experience with Databricks or Snowflake.
• Hands-on Apache Spark experience.
• Knowledge of SDLC methodologies and Agile practices.
• Fluent English (B2+).

Responsibilities

• Design and build scalable, maintainable data integration solutions.
• Collaborate with cross-functional teams to ensure timely delivery.
• Contribute to architecture discussions and data workflows.
• Review code and uphold engineering practices.
• Investigate and resolve complex data pipeline issues.
• Mentor junior team members and share knowledge.

Skills

Python

AI concepts

Data integration

SQL

CI/CD

Agile

English communication

Tools

AWS

Google Cloud Platform

Apache Airflow

Databricks

Snowflake

Apache Spark

NoSQL databases

Job description

EPAM Systems is seeking a Senior Data Integration Engineer with strong AI knowledge to design and implement scalable data pipelines. You will collaborate with multinational teams on complex data projects, applying best practices in data integration, cloud engineering, and AI-driven solutions.

You will work with technologies like Python, AWS, GCP, Apache Airflow, Spark, and Snowflake, while contributing to architecture discussions and mentoring peers in a fast-evolving environment.