Data Engineer Azure Junior Remoto

hace 3 días


Monterrey, Nuevo León, México Training Talent A tiempo completo

**Vacante para la empresa Training Talent en Monterrey, Nuevo León**:
Somos una consultora de servicios de desarrollo de software con integraciones en nube, soluciones IoT y Machine Learning con presencia en Latam y EE.
UU.
socios de Microsoft, Amazon, buscamos en México un ingeniero de datos Data Engineer con experiência en Azure.
Equipo técnico muy sólido, agilismo, dinamismo y una relación a largo plazo.
- Ingreso de 30,000 a 45,000 pesos libres 100% nominales y prestaciones ley, inglés y seguros
- Horario de lunes a viernes de 9:00 a.m. a 6:30 p.m.
- Zona de trabajo: Esquema Home Office

**3 a 4 años de experiência como**:

- Data Engineer, cloud data Engineer, data Engineer specialist, Azure Data Engineer, AWS Data Engineer, Data Engineer Analytics, Ingeniero de datos, analista de datos, experiência Azure, Big Data Engineer, Data Engineer Analytics, Ingeniero de datos, analista de datos, Amazon Web Services (AWS), Big Data Engineer
- Experiência en Levantamiento de requerimientos funcionales y técnicospara proyectos de datos (Data management o data Governance)
- Conocimiento de lenguajes de programación de scripts como Java, Powershell, Python,
- Experiência en Azure SQL Conocimiento avanzado en SQL (data transformation, data structures, metadata, Dependency and workload management)
- Creación e implementación del proceso de ingesta y conservación de datos desarrollado con herramientas de datos en la nube, como Azure Synapse Analytics o Azure Databricks.
- Conocimiento práctico de las canalizaciones de Azure Synapse, Azure Data Factory Data Pipelines
- Sólidos conocimientos de SQL y habilidades de análisis de datos para la detección de anomalías de datos y el aseguramiento de la calidad de los datos.
- Experiência en el control de versiones de código con Bitbucket.
- Experiênciacon Data Lakes(Hadoop,AWS S3, AzureData Lake Storage, Google Cloud Storage).
- Conocimiento deseable en bases de datos SQL (SQL Server, MySQL, PostgreSQL, Oracle, etc) experiência en funciones y desarrollo de scripts SQL y HQL
- Adecuado conocimiento de Python (desde la perspectiva de los datos) y muy deseable Pandas, Numpy, Matlabplot, Seaborn, ScikitLearnetc.
- Conocimiento enherramientasde analítica y/o modelos de machinelearning.
- Conocimiento demetodologías ágiles (Scrum, Agile, Kanban, DevOps,MLOps,DataOps).
**Muy deseable**:

- Conocimiento básico de AWS **Lambda,EC2,RDS,API Gateway,S3,Cloud Front,Amplify** S3, EC2, ECS, EMR, GLUE, Redshift, Lambda, DynamoDB, Kinesis, RDS, Data Pipeline etc.
- Experiência con herramientas de procesamiento de grandes volúmenes de datos y/oDataWarehouse(Hive,Spark,Oracle, Teradata,**Snowflake**,AWSRed shift, Aurora AzureSynapseAnalytics, Google BigQuery).
**Nível de educación deseada**:
Superior - trunco

**Nível de experiência deseada**:
Nível Medio

**Función departamental**:
Tecnología / Internet

**Industria**:
Tecnologías de la Información

**Habilidades**:

- ingeniero de datos
- desarrollador bi
- data engineer
- data analystt
- data azure engineer


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