Lead Data Engineer: Java + GCP Data Pipelines

EPAM Systems; Chile; On-site; CLP 44,640,000 - 89,280,000; Full time

Benefits offered by this job

Health insurance

Lunch allowance

Internet & electricity allowance

National holiday bonus

Christmas bonus

Learning culture

Referral/Interviewer incentives

Relocation assistance

Job summary

EPAM Systems in Chile is seeking a Lead Data Software Engineer (Java+GCP) to drive the design and implementation of scalable data solutions and mentor engineers. You will collaborate with stakeholders to deliver high-quality data products on Google Cloud.

Responsibilities include leading data pipeline architecture on Databricks, optimizing SQL workloads, and ensuring code quality. English proficiency (B2+) is required and relocation support is available in some cases.

Qualifications

• 5+ years of experience in data software engineering.
• Proficiency in Java and SQL.
• Expertise in Google Cloud Platform and Databricks.
• Capability to design and lead complex data engineering initiatives.
• English proficiency at B2 level or higher.

Responsibilities

• Lead the design and development of data software solutions using Java and GCP.
• Architect scalable and reliable data pipelines on Databricks.
• Collaborate with cross-functional teams to gather and define technical requirements.
• Provide technical guidance and mentorship to engineering team members.
• Ensure code quality through reviews, best practices and standards enforcement.
• Optimize SQL queries and data processing workflows for performance.
• Drive adoption of cloud-native solutions across data engineering projects.
• Communicate effectively with stakeholders in English to align on project goals.

Skills

Java

SQL

GCP

Databricks

Leadership

English (B2+)

Tools

Databricks

Google Cloud Platform

Job description

EPAM Systems in Chile is seeking a Lead Data Software Engineer (Java+GCP) to drive the design and implementation of scalable data solutions and mentor engineers. You will collaborate with stakeholders to deliver high-quality data products on Google Cloud.

Responsibilities include leading data pipeline architecture on Databricks, optimizing SQL workloads, and ensuring code quality. English proficiency (B2+) is required and relocation support is available in some cases.