Building Scalable Data Pipelines

Há 23 horas


Brasil beBeeDataEngineer Tempo inteiro

Cloud Engineer Job Opportunity As a skilled cloud engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines using Databricks. This involves integrating Databricks workflows into broader application architecture and collaborating with cross-functional teams to deliver cloud-native solutions. Key responsibilities include implementing application features using AWS services and Python, as well as having experience with Databricks, including project or engagement, and proficiency in data engineering workflows, notebooks, and Spark-based processing within Databricks. You should have AWS Full Stack Development experience, including AWS Certified (Foundational or Associate level), hands-on with EC2, Lambda, S3, and Python-based development. Additionally, experience building and deploying applications on AWS is required. The ideal candidate will also be familiar with GitLab for version control and Jira for agile project tracking, and have strong communication skills in English and Spanish (B2 Upper Intermediate level). The successful candidate will work closely with our team to deliver high-quality solutions and contribute to agile ceremonies. Required Skills: AWS Full Stack Development experience Databricks experience Python-based development GitLab and Jira experience Benefits: The successful candidate will have the opportunity to work on exciting projects, develop their skills, and collaborate with a talented team. Other Requirements: The candidate must have strong communication skills in English and Spanish (B2 Upper Intermediate level).


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