Hace más de 1 mes
Data Engineer
Si el reclutador te contacta podrás conocer el sueldo
net2source inc. en
Esta es una vacante externa, deberás completar el proceso en el sitio de la empresa.
Sobre el empleo
Categoría: Tecnologías de la Información - Sistemas
Subcategoría: Administración de proyectos
Educación mínima requerida:
Detalles
Contratación:
PermanenteEspacio de trabajo:
PresencialDescripción
Lead the design and implementation of data architecture solutions using Databricks Unity Catalog Admin.
• Oversee the development and deployment of Databricks CLI scripts to automate workflows.
• Provide expertise in Python programming to enhance data processing capabilities.
• Develop and optimize SQL queries within Databricks SQL to ensure efficient data retrieval.
• Implement and manage Databricks Delta Lake to ensure data integrity and performance.
• Design and manage Databricks Workflows to streamline data pipelines.
• Utilize PySpark to perform large-scale data processing and analytics.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data security and compliance with industry standards.
• Conduct performance tuning and optimization of data workflows.
• Provide technical guidance and mentorship to junior team members.
• Contribute to the continuous improvement of data architecture practices.
• Stay updated with the latest industry trends and technologies to drive innovation.
Required Skills:
• 8 to 12 years of experience
• Must have strong experience in Databricks Python MLOps Palantir AWS API Development.
• Nice to have experience in the Industrial Manufacturing domain.
• Must be proficient in English (Read/Write Speak).
• Must have a minimum of 8 years and a maximum of 12 years of relevant experience.
• Must have experience in hybrid work model environments.
• Must be able to work day shifts.
• Must have strong problem-solving and analytical skills.
• Must be able to collaborate effectively with cross-functional teams.
• Must have a proactive approach to learning and applying new technologies.
• Must have excellent communication and documentation skills.
• Must be detail-oriented and able to manage multiple tasks simultaneously.
• Must have a strong understanding of data security and compliance.
• Oversee the development and deployment of Databricks CLI scripts to automate workflows.
• Provide expertise in Python programming to enhance data processing capabilities.
• Develop and optimize SQL queries within Databricks SQL to ensure efficient data retrieval.
• Implement and manage Databricks Delta Lake to ensure data integrity and performance.
• Design and manage Databricks Workflows to streamline data pipelines.
• Utilize PySpark to perform large-scale data processing and analytics.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data security and compliance with industry standards.
• Conduct performance tuning and optimization of data workflows.
• Provide technical guidance and mentorship to junior team members.
• Contribute to the continuous improvement of data architecture practices.
• Stay updated with the latest industry trends and technologies to drive innovation.
Required Skills:
• 8 to 12 years of experience
• Must have strong experience in Databricks Python MLOps Palantir AWS API Development.
• Nice to have experience in the Industrial Manufacturing domain.
• Must be proficient in English (Read/Write Speak).
• Must have a minimum of 8 years and a maximum of 12 years of relevant experience.
• Must have experience in hybrid work model environments.
• Must be able to work day shifts.
• Must have strong problem-solving and analytical skills.
• Must be able to collaborate effectively with cross-functional teams.
• Must have a proactive approach to learning and applying new technologies.
• Must have excellent communication and documentation skills.
• Must be detail-oriented and able to manage multiple tasks simultaneously.
• Must have a strong understanding of data security and compliance.
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.
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