Senior Data Software Engineer — Build Scalable Data Pipelines

EPAM Systems Inc; Chile; Remote; CLP 25,000,000 - 38,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Learning & certification

Global career opportunities

Volunteer programs

Employee groups

Job summary

EPAM Systems Inc in Chile seeks a Senior Data Software Engineer to architect scalable data solutions powering key business decisions. You will build robust data pipelines, ingest from multiple sources, and write clean, well-tested code.

Collaborate with cross-functional teams, monitor pipeline performance, review code, and drive data architecture standards. Prior experience with PySpark, Delta Lake, and Databricks certification preferred.

Qualifications

• 3+ years of hands-on data engineering experience.
• Strong experience with PySpark and Spark SQL for large-scale pipelines.
• Proficient in Delta Lake and Unity Catalog for storage and governance.
• Experience with data ingestion via Auto Loader and JDBC/CDC.

Responsibilities

• Architect scalable data pipelines enabling reliable data flow across platforms.
• Build data ingestion workflows from diverse source systems.
• Write clean, well-tested code grounded in software engineering.
• Collaborate with cross-functional teams to turn data needs into solutions.
• Monitor pipeline performance and resolve issues to ensure dependability.
• Participate in code reviews to uphold quality standards.
• Diagnose data quality problems and ensure data accuracy across datasets.
• Document technical workflows to help knowledge sharing and onboarding.

Skills

PySpark

Spark SQL

Delta Lake

Unity Catalog

Lakeflow

pytest

Git

Python

SQL

Databricks

Education

Databricks Certification

Tools

Auto Loader

JDBC/CDC

Databricks

DataStage

SQL Server

Job description

EPAM Systems Inc in Chile seeks a Senior Data Software Engineer to architect scalable data solutions powering key business decisions. You will build robust data pipelines, ingest from multiple sources, and write clean, well-tested code.

Collaborate with cross-functional teams, monitor pipeline performance, review code, and drive data architecture standards. Prior experience with PySpark, Delta Lake, and Databricks certification preferred.