Postúlate en Kit Empleo: kitempleo.pe/empleo/wkmlp

Somos más de 20 millones de yaperos y 3 millones de negocios que utilizan Yape a diario. Estamos disponibles para todos, lo que nos convierte en una plataforma única y principal del ecosistema digital del Perú.

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Nos motiva construir un país conectado sin barreras, que fomente el crecimiento y desarrollo para todos los peruanos.

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Para seguir brindando la mejor experiencia a nuestros yaperos, necesitamos el mejor talento.

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Sé parte de esta emocionante misión y contribuye con nuestro propósito de hacer más simple el día a día de las personas para que sigan movilizando sus vidas.

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¡Contágiate de la Vibra Yape y haz que la vida fluya!

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Responsabilidades:

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- Collaborate with engineering teams and business stakeholders to understand data requirements.
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- Apply proven expertise to build high-performance, scalable data pipelines.
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- Design, build, and deploy efficient and reliable data pipelines for ingesting and transforming both large and small datasets.
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- Securely ingest data from external sources.
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- Design data models optimized for efficient storage and retrieval. Implement data quality checks to ensure high data reliability and integrity.
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- Work closely with engineers and stakeholders to enable effective data consumption.
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nRequisitos:n

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- 3+ years of experience using Python
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- 4+ years of experience with SQL and relational databases
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- 4+ years of experience with ETL/ELT processes
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- 3+ years of experience using version control systems (e.g., Git)
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- Experience with multiple programming languages (e.g., Python, Apache Spark)
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- Experience using Databricks
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- Experience building both batch and streaming data pipelines
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- Experience working with structured and unstructured data
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- Experience handling large-scale datasets
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- Experience with cloud-based data platforms, preferably Microsoft Azure
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- Experience working with data lakes Familiarity with CI/CD tools and practices (e.g., Bitbucket, Jenkins, Jira, Artifactory, Git)
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Postúlate en Kit Empleo: kitempleo.pe/empleo/wkmlp

📌 Data Engineer (La Molina)
🏢 Yape
📍 La Molina