Lead Data Engineer: Python, Azure & Databricks (Flexible)

EPAM Systems; México; Presencial; MXN 900.000 - 1.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Career growth

LinkedIn Learning

English classes

Stock plan

December bonus

Major medical insurance

Descripción de la vacante

EPAM Systems in Mexico is seeking an experienced Lead Data Software Engineer to drive the design and optimization of scalable data solutions. You will lead a team of engineers, architect robust data pipelines, and collaborate with stakeholders to deliver high-impact data products aligned with business goals.

You will mentor engineers, ensure data quality, and optimize cloud-based platforms using Python, Azure, and Databricks.

Formación

• 5+ years in data engineering or software engineering roles, with at least 1 year in a lead capacity.
• Proficiency in Python for data processing and automation; strong cloud experience in Azure.

Responsabilidades

• Lead the design, development, and deployment of scalable data engineering solutions.
• Architect and implement efficient data pipelines and ETL processes.
• Mentor and guide a team of data engineers, fostering best practices and technical growth.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and governance across all engineering initiatives.
• Optimize performance, reliability, and cost-efficiency of cloud-based data platforms.
• Drive code reviews, technical documentation, and engineering standards.
• Troubleshoot complex data issues and provide timely resolutions.
• Stay current with emerging data technologies and recommend improvements.
• Partner with leadership to define the data engineering roadmap and strategy.

Conocimientos

Python

Azure

Databricks

Data pipelines

ETL

Data modeling

Leadership

English (B2)

Team mentorship

Communication

Descripción del empleo

EPAM Systems in Mexico is seeking an experienced Lead Data Software Engineer to drive the design and optimization of scalable data solutions. You will lead a team of engineers, architect robust data pipelines, and collaborate with stakeholders to deliver high-impact data products aligned with business goals.

You will mentor engineers, ensure data quality, and optimize cloud-based platforms using Python, Azure, and Databricks.