Match score not available

Senior Data Engineer

72% Flex

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Colombia

Offer summary

Qualifications:

Bachelor’s/Master’s degree in Computer Science, Data Engineering or related field, 2+ years experience in data engineering, Strong expertise in Hadoop, Spark, and AWS services, Proficiency in programming languages like Java, C++, or Python and ETL processes.

Key responsabilities:

Process, analyze, and manage large-scale raw data for various projects
Troubleshoot data QA anomalies and ingestion issues
Optimize infrastructure as needed and maintain production systems
Collaborate with internal media teams and external partners to enhance data operations

Publicis Groupe Marketing & Advertising XLarge http://www.publicisgroupe.com/

10001 Employees

See more Publicis Groupe offers

Job description

Your missions

Company Description

At Publicis Groupe, 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 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

Minimum Requirements:

Bachelor’s/Master’s degree in Computer Science, Computer Engineering, Data Science or equivalent
2+ years of experience as a data engineer
In-depth knowledge of data mining, machine learning, and information retrieval
Expertise in Hadoop, Spark, and similar frameworks
Knowledge of AWS services (S3, EC2, Redshift, Glue, Athena, Lambda)
Expertise in at least one programming language such as Java, C++ or Python and coding good practices
Familiarity with various ETL techniques and frameworks
SQL Knowledge

Qualifications

What you’ll do:

Assemble, process, and analyze raw data at scale to support different project requirements
Monitor for data QA anomalies and solve business-rules related issues in ingestion processes
Revise and adjust infrastructure where required
Maintain the data base production systems for performance dashboards
Work closely with internal business media teams
Work with external development and research team for calling APIs, and writing SQL queries
Explore new ideas from industry best practices, data modifications and governance
Select and integrate required data processing tools and frameworks to improve performance

Additional Information

Benefits

Access to Prepaid Medical Plan
Flexible schedule
100% Remote work
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!