Senior Data Integration Engineer: AI-Driven Cloud Pipelines

EPAM Systems Inc; México; À distance; MXN 900 000 - 1 500 000; Plein temps

Avantages offerts par ce poste

Healthcare benefits

Paid time off

Upskilling / certification programs

LinkedIn Learning access

Résumé du poste

EPAM Systems Inc in Mexico is seeking a Senior Data Integration Engineer to design scalable, cloud-based data pipelines using Python, SQL, Airflow, Spark and tools like Databricks or Snowflake, while applying practical AI familiarity to integration solutions.

You will partner with cross-functional teams to define scope, estimate work, review peers' code, troubleshoot complex pipelines, mentor junior colleagues, document critical data workflows, and help advance our AI-enabled data platform

Qualifications

• At least 3 years of relevant data integration experience.
• Strong Python development for data integration applications.
• Hands-on experience in cloud environments built on AWS.
• Solid SQL skills for relational databases and data wrangling.
• Familiarity with NoSQL databases for unstructured data.
• Understanding of CI/CD practices for automated deployment of data pipelines.
• Experience with Google Cloud Platform is a plus.

Responsabilités

• Design scalable data integration systems that satisfy business and technical needs.
• Collaborate with cross-functional teams to deliver work on time while maintaining 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.
• Maintain clear documentation of data workflows and key technical decisions.

Connaissances

Python

SQL

AWS

CI/CD

English

Agile

AI principles

Outils

Databricks

Snowflake

Airflow

Spark

Description du poste

EPAM Systems Inc in Mexico is seeking a Senior Data Integration Engineer to design scalable, cloud-based data pipelines using Python, SQL, Airflow, Spark and tools like Databricks or Snowflake, while applying practical AI familiarity to integration solutions.

You will partner with cross-functional teams to define scope, estimate work, review peers' code, troubleshoot complex pipelines, mentor junior colleagues, document critical data workflows, and help advance our AI-enabled data platform