Senior Data Engineer

Publicis Groupe; Ciudad de México; Presencial; USD 30,000 - 50,000; Jornada completa

Descripción de la vacante

A leading company in digital transformation is seeking a Senior Data Engineer to design and maintain data pipelines and optimize ETL processes using PySpark and AWS. This full-time role involves collaboration with global teams and direct client engagement. The position requires on-site attendance once a week in Mexico City, offering a dynamic work environment focused on innovation and growth.

Formación

• Strong proficiency in Python and object-oriented programming principles.
• Hands-on experience with PySpark.
• Familiarity with AWS services like S3, EKS, and Docker.

Responsabilidades

• Design, develop, and maintain robust, scalable data pipelines using Python.
• Build and optimize ETL processes leveraging frameworks such as PySpark.
• Collaborate with a globally distributed team to deliver high-quality data solutions.

Conocimientos

Python

Object-oriented programming

PySpark

SQL

AWS

Communication

Herramientas

Docker

Oracle

SQL Server

Descripción del empleo

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 62 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

Publicis Sapient is looking for a Senior Data Engineer (PySpark + AWS) to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.

Responsibilities

Your Impact:

• Design, develop, and maintain robust, scalable data pipelines using Python with a strong focus on object-oriented programming.

• Build and optimize ETL processes leveraging frameworks such as PySpark and other modern data tools.

• Write high-quality, efficient SQL queries and manage relational databases with a focus on Oracle and SQL Server environments.

• Collaborate with a globally distributed team, ensuring the delivery of high-quality, reliable data solutions.

• Partner directly with clients to understand their data needs and translate them into effective, scalable solutions.

• Foster a supportive, collaborative environment by working closely with team members and sharing knowledge across projects.

Qualifications

Your Skills and Experience

• Strong proficiency in Python and object-oriented programming principles.

• Hands-on experience with PySpark.

• Familiarity with AWS services like S3, EKS, and Docker.

• Advanced skills writing and optimizing SQL, especially with Oracle and SQL Server databases.

• Excellent communication skills with the ability to engage and collaborate with clients.

• Comfortable working in a global, cross-functional team.

• A team-oriented mindset with a passion for knowledge sharing and collaboration.

Set Yourself Apart With:

• Experience with Autosys for job scheduling.

• Knowledge of PowerCenter (Informatica) for ETL processes.

• Proficiency with shell scripting and Unix/Linux environments.

Additional Information

This full-time position requires on-site attendance one day per week at our offices in Torre Diana, Mexico City, and is available either as a permanent hire or contractor.