Jobs Infrastructure Architect Google Cloud Platform in Colombia

Estás son las últimas ofertas de trabajo de Infrastructure Architect Google Cloud Platform in Colombia encontradas.

 job(s)

  • 22/11/2022

    Amazonas, Antioquia, Arauca, Atlántico, Bolívar, Boyacá, Caldas, Caquetá, Casanare, Cauca, Cesar, Chocó, Córdoba, Cundinamarca, Guainía, Guaviare, Huila, La Guajira, Magdalena, Meta, Nariño, Norte de Santander, Putumayo, Quindío, Risaralda, Santander, Sucre, Tolima, Valle del Cauca, Vaupés, Vichada, San Andrés, Providencia y Santa Catalina, Bogotá

    Role: Cloud Infrastructure Engineer Throughout the years of its operations, the company has developed strong expertise in such fields as digital turn-key solutions engineering, cloud services, big data & analytics, user experience design, engineering excellence, digital platforms integration, and its own R&D in different domains such as financial services & banking, telecommunications, e-commerce, automotive, manufacturing, and others. The modern global trends in the IT industry have led the company to consider its expansion to the Latin American market to complement its expertise with high-end talents in the area. Cloud Infrastructure Engineering team is responsible for overseeing the client's Cloud Infrastructure and building/managing/supporting "Cloud Native Application Platform" and "Data Platform" which is built on Google Cloud Platform. Cloud Native Applications Platform's goal is to offer the simplest and fastest path for developers to build, deploy, monitor, and scale resilient Cloud Native Applications by incorporating DevSecOps principles and self-servicing capabilities. Data Platform on the other hand, also using the same foundations and principles, is for onboarding data pipelines and producing Data Products for Data Analytics and Data Science purposes. Requirements: At least 5 or more years of experience working in the data engineering field. Proficiency in SQL language. Strong knowledge of Python language. Experience in optimization of high-volume ETL processes. Experience with any of the popular Clouds (GCP, AWS, Azure). Good knowledge in Message Broker systems (e.g., Kafka, PubSub). Google GCP data platform (Dataflow, Dataprep, Cloud Composer, BigIGQuery, CloudSQL) knowledge and experience is an asset, or knowledge of the equivalent open source toolset behind those products. Upper-Intermediate level of English. Nice to have: Good knowledge of popular data standards and formats (e.g, JSON, XML, Proto, Parquet, Avro, ORC, etc). Data modeling skills. GCP Data Engineering Certification preferred. We offer: Flexible working format - remote, office-based or flexible. A competitive salary and good compensation package. Flexible and personalized career growth. Professional development tools (mentorship program, tech talks and training, centers of excellence, and more). Active tech communities with regular knowledge sharing. Education reimbursement. Paid vacation days, sick leaves, and days off. Healthcare & Sport program. Medical insurance. Memorable anniversary presents. Corporate events and team buildings. Responsibilities: 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. Optimally extract, transform, and load data from a wide variety of data sources using SQL and Google Cloud data technologies. Collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. Develop and maintain code and documentation for ETL and other data integration projects and procedures. Monitor and anticipate trends in data engineering, and propose changes in alignment with organisational goals and needs. Share knowledge with other teams on various data engineering or project related topics. Labor Conditions: Workplace: Colombia - Remote. Type of Contract: indefinitely. Salary Range: $3.900.000-$4.700.000 gross per month. This vacancy is disclosed through ticjob.co

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