Lead Data Engineer: Python, GCP & Databricks

EPAM Systems; Mexico; On-site; PHP 3,320,000 - 6,271,000; Full time

Benefits offered by this job

Career growth

LinkedIn Learning access

Health insurance

Job summary

EPAM Systems leads the design and development of scalable data solutions on Google Cloud Platform, with a strong focus on Python and SQL. The Lead Data Software Engineer will mentor team members and drive architectural decisions for data pipelines and platforms.

Responsibilities include building large-scale data workflows, collaborating with cross-functional teams, and delivering high-quality data engineering products in a fast-paced, global environment. English proficiency is required.

Qualifications

• 5+ years of experience in data software engineering.
• Proficiency in Python and SQL.
• Expertise in Google Cloud Platform and Databricks.
• Background in designing and building large-scale data pipelines.
• English proficiency at B2 level or higher.

Responsibilities

• Lead the design and implementation of data engineering solutions on Google Cloud Platform.
• Develop and Maintain scalable data pipelines using Python and SQL.
• Architect data workflows and processing frameworks within Databricks.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Provide technical leadership and mentorship to engineering team members.
• Ensure code quality through reviews, best practices and engineering standards.
• Optimize performance and reliability of data platforms and pipelines.
• Drive technical decision-making and contribute to architectural discussions.
• Communicate effectively with stakeholders in English at a professional level.

Skills

Python

SQL

English communication

Tools

Google Cloud Platform

Databricks

Job description

EPAM Systems leads the design and development of scalable data solutions on Google Cloud Platform, with a strong focus on Python and SQL. The Lead Data Software Engineer will mentor team members and drive architectural decisions for data pipelines and platforms.

Responsibilities include building large-scale data workflows, collaborating with cross-functional teams, and delivering high-quality data engineering products in a fast-paced, global environment. English proficiency is required.