Data Engineer - 16066

Company Description

At Publicis Global Delivery, we are looking for a Data Engineer fluent in English fluent in English to join our Data Analytics Hub at Publicis Global Delivery, our talent powerhouse, the global interconnected network that 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

What you’ll do:

We are offering the amazing opportunity to take part of a global distributed team that has a knack for understanding data and telling the story of why it matters.

By joining our team you will be:

• Designing data storage systems that are scalable, effective and cost-effective to meet the needs of the organization. 
• Working on data management and storage: Azure SQL Database, Azure Data Lake Storage Gen2, Azure Cosmos DB, Azure Blob Storage.
• Working on data Integration and ETL processes: To extract, transform and load (ETL) data from various sources into data warehouses or data lakes, implementing data integration processes, often using Azure Data Factory.
• Working on Big Data and analytics projects with Azure Databricks and Apache Spark, to support data analytics, machine learning and other data-driven applications, creating data processing workflows and pipelines.

Qualifications

We’re looking for strong, impactful work experience, which typically includes:

• Previous experience using cloud infrastructure for creation and management of data pipelines (specifically in Azure).
• Design and build Big Data ETL code and pipelines using, Python and cloud services such as Azure Data Factory, Azure SQL, Data Bricks, Apache Spark. 
• Design and maintain data pipelines through the lifecycle of the product.

Additional Information

Benefits

• Access to a high quality Prepaid Medical Plan
• 100% Remote work
• Flexible schedule
• Technical trainings & soft skills development
• Certification programs
• Access to E-Learning platforms
• English lessons
• Engagement activities and events
• A mentor who´ll do a coaching process with you to develop your professional career!

All your information will be kept confidential.