Cloud Data Engineer

1 Vacantes
Publicado el 08 de abril en

Sistemas en San Luis Potosí, San Luis Potosí

Descripción
  • Salario: A convenir
  • Categoría: Informática / Telecomunicaciones
  • Subcategoría Sistemas
  • Localidad: San Luis Potosí
  • Activo desde: 08/04/2024
  • Jornada: Tiempo Completo
  • Tipo de Contrato: Otro tipo de contrato
  • Cantidad de Vacantes: 1
  • Educación Mínima: Educación superior - Licenciatura
  • Años de Experiencia: 3
  • Disponibilidad de viajar: Si

Were hiring: CLOUD DATA ENGINEER Fluent English

REQUIREMENTS:
Bachelors degree/engineering completed
Fluent English is required.
3+ years as Cloud Data Engineer

RESPONSABILITIES:
Will be responsible for designing, building, and managing the information management architecture in a cloud environment. This includes setting up and maintaining largescale data processing systems, creating ETL pipelines, and ensuring the datas security, scalability, and accessibility.
Design, construct, install, test, and maintain highly scalable data management systems in the cloud.
Build highperformance algorithms, prototypes, predictive models, and proof of concepts using ETL techniques.
Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
Build automated data validation and error tracking systems to ensure data integrity and accuracy.
Design cloudbased data storage infrastructure and ensure it meets the needs of our organization.
Migrate data from legacy systems to cloud storage solutions.
Implement effective metrics and monitoring processes.
Ensure the data architecture supports the requirements of the business and complies with regulatory and security standards.

EXPERIENCE:
Cloud Platforms: Expertise in major cloud platforms such as AWS, Azure, or Google Cloud Platform GCP.
ETL Tools: Experience with ETL tools such as Informatica, Talend, or Microsoft SSIS.
Big Data Technologies: Familiarity with Hadoop, Spark, or other big data technologies.
Data Warehousing: Knowledge of data warehousing concepts and technologies like Redshift, BigQuery, or Snowflake.
Programming Languages: Proficiency in languages like Python, Java, or Scala.
SQL and NoSQL Databases: Deep understanding of SQL and NoSQL databases, such as MySQL, PostgreSQL, MongoDB, or Cassandra.
Data Pipeline Tools: Experience with data pipeline tools like Apache Beam, Airflow, or Luigi.
Data Modeling: Knowledge in data modeling and data architecture principles.
Security: Understanding of data security and privacy principles and techniques in cloud environments.
DevOps and Agile Methodologies: Familiarity with DevOps and Agile methodologies.

OFFER:
Basis salary.
Grocery vouchers.
Provisions of law from the first day.
SGMM individual


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