Senior Data Integration Engineer - AI Cloud Pipelines

EPAM Systems Inc; Argentina; Remote; ARS 1,500,000 - 2,700,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & certification courses

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems Inc. seeks a Senior Data Integration Engineer to design and operate scalable data pipelines across AWS and GCP. You will build with Python, SQL, Airflow, Spark, and Databricks or Snowflake to integrate data at scale while aligning with AI initiatives and best practices.

You will collaborate with cross-functional teams to ensure timely delivery, review peer code, and mentor juniors. The role emphasizes strong engineering habits, SDLC adherence, and agile teamwork within global

Qualifications

• 3+ years of professional data integration experience.
• Functional knowledge of AI principles and tools.
• Hands-on experience in AWS cloud environments.
• Strong data integration background joining and consolidating data from multiple sources.
• Proficient SQL for data extraction and manipulation.
• Familiarity with NoSQL systems for unstructured data handling.
• Understanding of CI/CD practices for automated releases.
• Experience with Google Cloud Platform for data solutions.
• Experience with Apache Airflow for workflow orchestration.
• Experience with Databricks or Snowflake for large-scale processing.
• Knowledge of SDLC methodologies and Agile practices.
• Proficient English communication (B2+ or higher).

Responsibilities

• Build scalable and durable data integration systems aligned with business and technical requirements.
• Coordinate with multidisciplinary teams to ensure timely and quality deliverables.
• Participate in architecture discussions and provide guiding perspectives.
• Evaluate code and provide feedback to sustain engineering standards.
• Guide junior colleagues through knowledge sharing and mentoring.
• Assist with planning by refining scope and delivering reliable estimates.
• Monitor technology trends and incorporate worthwhile methods into work.
• Document key technical decisions and data workflows for stability.

Tools

Databricks

Snowflake

Airflow

Spark

Job description

EPAM Systems Inc. seeks a Senior Data Integration Engineer to design and operate scalable data pipelines across AWS and GCP. You will build with Python, SQL, Airflow, Spark, and Databricks or Snowflake to integrate data at scale while aligning with AI initiatives and best practices.

You will collaborate with cross-functional teams to ensure timely delivery, review peer code, and mentor juniors. The role emphasizes strong engineering habits, SDLC adherence, and agile teamwork within global