**Company description** Publicis Global Delivery is the talent powerhouse of Publicis Groupe, the largest global communications group. We make sure to hire, boost and develop the best people worldwide to deliver outstanding work for the most prominent clients within the Groupe. In LATAM, we are over 1,700 passionate employees that love to push boundaries and drive innovative solutions. If you are a risk-taker and love to develop intrepid ideas, PGD is the place for you. We Move People, and People Move Us! **Overview** We are looking for professionals in **Data Science and Data Engineering** to join our team and lead high-impact projects in data management, integration, and analytics. The role involves designing, building, and maintaining scalable data solutions that support strategic decision-making in **Big Data and Cloud environments** , while ensuring data quality, integrity, and availability. You will collaborate closely with cross-functional teams, bringing technical expertise to transform complex datasets into actionable insights. **Responsibilities** + Design, develop, and maintain robust data pipelines (ETL/ELT) to integrate and transform data from diverse sources. + Build and optimize data models for analysis, ensuring governance and data quality. + Develop and optimize SQL queries and Python scripts for large-scale data processing. + Leverage technologies such as **Databricks, Spark, Hadoop, BigQuery** , or similar for big data processing. + Implement and monitor data validation, quality checks, and pipeline performance. + Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into technical solutions. + Apply engineering best practices: version control (Git), documentation, testing, and CI/CD. + In senior roles: mentor team members, set technical standards, and act as a reference point for best practices. **Qualifications** + Bachelor’s degree in **Computer Science, Mathematics, Engineering, or related fields** . + 3+ years of experience in **Data Engineering or Data Science** with large-scale projects. + Strong proficiency in **Python** and **SQL** . + Hands-on experience with **cloud platforms** (AWS, Azure, or GCP). + Knowledge of **Big Data frameworks** such as Databricks, Spark, or Hadoop. + Experience with **data transformation and orchestration tools** (dbt, Airflow, ADF, etc.). + Familiarity with **data visualization tools** (Tableau, Looker Studio). + Background in **statistical analysis** (time series, audience modeling) is a plus. + Intermediate to advanced English, with the ability to communicate technical concepts to different audiences. + (Nice to have) Experience in digital media or marketing analytics.