detalles del trabajo

¡Esta propuesta te puede interesar!

En Randstad nos moviliza ayudar a las personas y a las organizaciones a desarrollar todo su potencial. Ese es el compromiso que asumimos como compañía en todo el mundo, un compromiso que nos impulsa a ir más allá para lograr que nuestros clientes y candidatos alcancen el éxito. ¿Cómo lo hacemos?, combinando nuestra pasión por las personas con el poder de la tecnología, creando experiencias más humanas, que nos permitan ser una fuente de inspiración y apoyo para quienes nos eligen. Porque estamos convencidos de que mejores personas hacen mejores empresas.

This position co-manages the team’s ETL pipelines, data engineering operations, and cloud infrastructure. This individual will be responsible for bringing data into our ecosystem from third party vendors in a reliable manner, designing ETL pipelines to clean and transform data, and building tools to help streamline those processes, all with sharp attention to detail around cloud resource consumption and data quality.

This position will report directly to the Head of US Data Strategy.

Responsibilities will include:

Help design our data infrastructure and platform architecture to ensure our team has access to reliable, timely, and organized data assets
Manage and configure data ingestion through a variety of data transfer methods (S3, SFTP, API, Delta Share, etc.) from both external and internal sources
Develop and maintain ETL pipelines to pull data into our environment, perform initial quality checks and cleaning transformations, and make data available for downstream use
Collaborate with Data Scientists and Sector Data Strategists on the team to gather requirements, gain domain expertise, and contribute to data cleaning steps
Oversee our data governance and cloud consumption, both compute and storage; find ways to optimize and reduce cost
Maintain thorough documentation for processes and pipelines
Develop relationships with external vendors and internal technology counterparts

Requirements:

Experience configuring data exchange and transfer methods
Experience orchestrating ETL pipelines with multiple tasks, triggers, and dependencies
High attention to detail and ability to identify inconsistencies or issues with data deliveries (e.g., schema shift, missing files, null presence, etc.); can translate expectations for data format and contents into programmatic checks
Strong proficiency with Python and Apache Spark; intermediate or better proficiency with SQL
Experience with AWS S3 and EC2
Experience with Databricks, Atlassian project management tools a plus
Ability to communicate efficiently and translate ideas with technical stakeholders in IT and Data Science
Passionate about designing data infrastructure and eager to contribute ideas to help our platform evolve
This position co-manages the team’s ETL pipelines, data engineering operations, and cloud infrastructure. This individual will be responsible for bringing data into our ecosystem from third party vendors in a reliable manner, designing ETL pipelines to clean and transform data, and building tools to help streamline those processes, all with sharp attention to detail around cloud resource consumption and data quality.

Working modality: Hibryd (3x2)

Location: Buenos Aires, Vicente Lopez

Si considerás que reunís los requisitos para el puesto y te gustan los desafíos, no lo dudes…. ¡Postulate!

Nos esforzamos todos los días en crear un entorno diverso y nos enorgullece ser una empresa con igualdad de oportunidades para todas las personas, independientemente de su raza, color, religión, sexo, identidad sexual u orientación sexual, país de origen, genética, discapacidad o edad.