Jobs DevOps Engineer Google Cloud Platform in Colombia

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

Role: Cloud Data 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. Within the role of the Cloud Data Engineer, you will work with a primary focus on delivering data platform footprint, as an expansion of our client's cloud presence, enabling key initiatives such as our Digital Banking. You will be working with several teams in the organization in a collaborative manner, helping deliver data-related components by leveraging automation to deliver self-service components as much as possible. You will be part of a team that drives the implementation of data components such as pipelines, applications, sanitation, supporting our data scientists and working with the rest of the product teams while collaborating with the architecture team, influencing the design and delivery of our data footprint and striving for greater functionality in our data systems. 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 organizational 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: $4.500.000-$5.200.000 gross per month. This vacancy is disclosed through ticjob.co