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Senior Data Engineer

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3-4 years backend software development experience, Experience with ETL and data management, Degree in Computer Science or Software Engineering, Proficient in Python, SQL, and GCP BigQuery, B2+ level of English proficiency.

Key responsabilities:

  • Write ETL packages and database code
  • Modify and improve data engineering processes
  • Ensure system performance and reliability
  • Own the entire data life cycle
  • Collaborate on performance tuning and optimization
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Leo Burnett Marketing & Advertising Large https://leoburnett.com/
5001 - 10000 Employees
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Job description

Company Description

At Publicis Global Delovery, we are looking for a Data Engineer fluent in English to join Publicis Global Delivery, the outstanding platform that we created to become a global interconnected network and provide offshore & nearshore solutions for our partners - sister companies´ business worldwide. 

We are a never sleeps machine of creation that continuously grows and mutates to become a more efficient and collaborative system. A cross-media transformation agent, based in Argentina, Colombia, Costa Rica, Peru and Mexico, that provides centralized expertise of all Publicis Global Services`capabilities to enable consistent and standardized delivery across Media, Production, Commerce, Content, Data & Technology. 

Job Description

This role requires a Senior Data engineer that can develop and maintain data processing pipelines in Google Cloud Platform (GCP) or any other cloud service.

The role expects both software development skills and a willingness to learn and understand the marketing and business needs to support the Publicis Groupe.

The data engineer should be able to work closely with product management and stakeholders to collaborate on building the best solutions for the agency and client.

Responsibilities:

• Write ETL packages and database code based on business requirements or user stories, architectural requirements, and existing code.
• Modify and improve data engineering processes to handle ever larger, more complex, and more types of data sources and pipelines.
• Responsible for system performance of the data tier and the reliability of data feeds across the entire solution.
• Ownership of the whole data life cycle.
• Work as part of the data processing team and 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 rotation.

Qualifications

Core Skill Set

  • Experience: 3-4 years backend software development experience
  • Experience with ETL and data management development
  • Degree: Computer Science/Software Engineering or equivalent experience
  • Programming Languages: Python, SQL
  • Database: SQL, experience with GCP BigQuery or similar big databases is a plus.
  • Experiencie with at least 1 data visualization tool (PowerBI, Tableau,Looker)
  • Advanced Excel for data processing. 
  • English level (spoken and written): B2+ 

Additional Information

Benefits

  • Access to Prepaid Medical Plan
  • Flexible schedule
  • 14 business days of vacation
  • English lessons
  • Discounts on courses, trainings and universities
  • Access to E-Learning platforms
  • Technical trainings & soft skills development
  • Certification programs
  • Level up program
  • Engagement activities and events
  • A mentor who´ll do a coaching process with you to develop your professional career!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Marketing & Advertising
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration

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