Data Engineer in Belcorp

Somos una empresa multinacional peruana de belleza con más de 50 años operando. Actualmente, nos encontramos en 14 países (entre Latinoamérica y USA) y estamos en 3 canales: venta directa, ecommerce y retail. Nuestras tres marcas comerciales son Esika, L'Bel y Cyzone.

Conoce un poco más de nuestra Vicepresidencia de Tecnología, ¡estamos seguros que te encantará trabajar con nosotros!

• Be a bridge between the business analyst and tech, enabling insight that can empower better decision-making through data.
• Designs data models for Data warehousing (e.g. Redshift, Snowflake, etc.)
• Designing and building data applications for collecting, storing, and analyzing data for data scientists and business analysts.
• Assembling large, complex data sets that meet functional / non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using different technologies.
• Engineers efficient, adaptable, and scalable data pipelines to process structured and unstructured data.
• Creating new data validation methods and data analysis tools
• Identifying, designing, and implementing internal process improvements to automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Improving the quality, reliability, accuracy, and consistency of our data.
• Thinking and working agile, including automated testing, continuous integration, and deployment.

• Experience in building data pipelines, with a strong sense of the entire user experience, not just the individual pieces.
• Experience in at least one program language like Java, Python, or Scala
• Knowledge of big data technologies like Hive, Presto, Spark, Python, EMR, MongoDB, etc.
• Understand Data Lifecycle and concepts such as lineage, governance, privacy, retention, anonymity, quality, etc.
• Knowledge in data modeling and comfortable with complex SQL
• Experience in managing cloud services like AWS, GCP, Azure.
• Knowledge in building microservices using containers based on the cloud.
• Knowledge in deployments DataOps and MLOps framework.
• Experience using SQL to transform data tables into meaningful data sources for business reporting.

• Horario flexible que se adapta a tus necesidades
• Early friday todo el año
• Soporte emocional a cargo de psicólogos
• Entrenamientos especializados
• Acuerdos con universidades reconocidas mundialmente
• Posibilidades de movimientos internacionales a 12 países donde tenemos sede