Data Engineer

hace 4 semanas

Guadalajara, México Invest in Quality A tiempo completo

Fecha de publicación: 14 Marzo 2024We're looking for
- Lugar:

- Hybrid (Guadalajara)
- Skills:

- 6+ years of experience at this level
- Experience with Azure Data Factory, Azure Analysis Services, PowerBi, and DAX.
- Experience with relational SQL and NoSQL databases.
- Experience with MS SQL Server and Transact-SQL.
- Experience with Google Analytics.
- Strong knowledge & solid experience with Snowflake - hands on experience are essential.
- Strong knowledge & solid experience with AWS/Azure cloud services.
- Experience with Python, R and C# would be advantageous.
- Knowledge and experience of architectures to support advanced analytics and data science would be advantageous
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable data stores.
- Strong project management and organizational skills.
- **English level: Advanced (Conversational)**
- Actividades:

- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Support the engineering leadership team in defining the technology roadmap to underpin advanced analytics and data science.
- Deseable:

- Beneficios:

- 100% Nómina
- Vales de despensa
- Vales de Restaurante
- Fondo de Ahorro
- Aguinaldo (30 días)
- 15 días de Vacaciones
- Seguro de Gastos Médicos Mayores
- Seguro de Vida
- Reparto de Utilidades
- Plan de Carrera

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