Data Engineer for Big Data Solutions

hace 3 semanas


Bogotá, Bogotá D.E., Colombia Publicis Groupe A tiempo completo


At Publicis Global Delivery, a forward-thinking platform that fosters global interconnectedness, we are seeking a seasoned Data Engineer to contribute to our team of experts in Argentina, Colombia, Costa Rica, Peru, and Mexico.

We are a dynamic entity that continuously evolves to become a more efficient and collaborative system, driven by our mission to provide centralized expertise for Publicis Global Services' capabilities.

This role requires a Data Engineer with expertise in developing and maintaining data processing pipelines in Google Cloud Platform (GCP) or similar cloud services.

The ideal candidate should possess both software development skills and a willingness to learn and understand marketing and business needs to support the Publicis Groupe.

Collaborating closely with product management and stakeholders, the Data Engineer will contribute to building innovative solutions for the agency and client.


Key Responsibilities:
Develop ETL packages and database code based on business requirements, architectural needs, and existing code.

Optimize data engineering processes to handle increasing data sources and pipelines.

Responsible for the system performance of the data tier and the reliability of data feeds across the entire solution. Ownership of the entire data life cycle.

Work with the data processing team on performance tuning and optimization, query optimization, index tuning, caching, buffer tuning, and data archiving strategies.

Estimate and plan development work, track and report on task progress, and deliver work on schedule. Participate in weekly on-call rotations.

Qualifications Core Skill Set Experience:
A minimum of 3-4 years of backend software development experience, with a focus on ETL and data management development.

Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.

Programming Languages: Proficiency in Python and SQL.

Database: Experience with SQL and GCP BigQuery or similar big databases is a plus.

Data Visualization: Familiarity with at least one data visualization tool is required.


Salary Range:
This role is competitively compensated, with an estimated annual salary of $120,000-$180,000, depending on experience and qualifications.

Benefits:
Access to a prepaid medical plan, 14 business days of vacation, discounts on courses and trainings, access to e-learning platforms, and certification programs.

Additional Information:
A mentor will be assigned to guide you through a coaching process to develop your professional career.


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