**Requirements** **Education** · Bachelor's degree or graduate in systems engineering, computing, computer science, statistics, industrial engineering, or related fields. **Experience** · Minimum 4 years managing Google Cloud Platform services. · Minimum 4 years in Business Intelligence, managing and implementing projects. · Minimum 4 years in database exploitation (Oracle or SQL). · Minimum 4 years working under agile methodologies (Scrum). **Knowledge** · Programming languages Jira and Github. · Cloud Computing, Analytics and Big Data. · Google Cloud Platform services: BigQuery, Cloud Dataflow, Cloud Composer, Cloud Storage, CloudWatch, Cloud Functions. · Design, construction and maintenance of data processing systems. · Data modeling. · Virtualization and cloud deployment. · Intermediate/advanced level in Java, Python/Scala (data processing, APIs exposure). **Competencies** · Fluent communication. · Analytical skills. · Critical thinking. · Results-oriented. · Teamwork **Skills** · Intermediate-advanced English language proficiency · Proficiency in multiple programming languages for processing and transforming data. · Ability to manage reports and deliverables to various departments, including dashboards, flowcharts, and automation of operational processes. · Interest in new trends in large-scale data processing (Big Data). **Responsibilities** · Develop a process to transform company data so that it can be analyzed and used by data scientists. · Design, develop, test and deploy extraction, transformation and loading (ETL) processes for structured and unstructured data to the cloud (Google). · Process large volumes of information using cloud-based Big Data technologies (Google). · Perform complex queries on data, ensuring system accessibility and proper operation. · Optimize the performance of the Big Data ecosystem. · Optimize Python code to run in C or Java. · Use versioning tools and continuous integration. · Participate in ensuring compliance and governance during data usage. · Perform builds and automations to increase efficiency and further reduce cloud costs. · Collaborate with clients to solve cloud challenges, especially those related to data engineering. · Create, generate and monitor the performance of cloud applications to detect potential failures and resolve performance issues. · Coordinate and execute data cleansing to turn it into a homogeneous dataset. · Ensure information security against any malicious access. · Educate and train. · Participate in ensuring compliance and governance during data usage. · Propose data source loading strategies. · Suggest models supporting data loading and hold meetings with data modelers from the data tribe to justify requirements. · Propose improvements and optimizations in loading processes. Job type: Full-time Salary: S/.3,500.00 - S/.5,500.00 per month Application questions: * Do you have immediate availability? * How many years of experience do you have in this role? * Have you participated in work projects using GCP cloud? (Indicate level: basic, intermediate or advanced) * Are you available to work in a hybrid mode? * What are your salary expectations? (indicate amount) Work location: On-site job