Lead Data Engineer - Java, GCP & Data Pipelines

EPAM Systems; Mexico; On-site; PHP 3,305,000 - 5,141,000; Full time

Benefits offered by this job

Career growth

LinkedIn Learning access

English classes with teacher

Online corporate courses / eLearning

Job summary

EPAM Systems is seeking a Lead Data Software Engineer (Java+GCP) to drive the design and implementation of scalable data solutions. You will lead technical initiatives, mentor team members and collaborate with stakeholders to deliver high-quality data engineering products on Google Cloud Platform.

Responsibilities include leading the design of data software solutions with Java and GCP, architecting scalable data pipelines on Databricks, and guiding cross-functional teams to define technical

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

Google Cloud Platform

Databricks

English (B2+)

Tools

Databricks

Google Cloud Platform

Java

SQL

Job description

EPAM Systems is seeking a Lead Data Software Engineer (Java+GCP) to drive the design and implementation of scalable data solutions. You will lead technical initiatives, mentor team members and collaborate with stakeholders to deliver high-quality data engineering products on Google Cloud Platform.

Responsibilities include leading the design of data software solutions with Java and GCP, architecting scalable data pipelines on Databricks, and guiding cross-functional teams to define technical