Data Engineer
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيالخبرة
5سنوات
الراتب الشهري
لم يكشف
لم يتم الكشف عن الراتب
عدد الوظائف الشاغرة
1 وظيفة شاغرة
الوصف الوظيفي
This is a remote position.
Requirements
Proficiency in Python programming for data manipulation scripting and automation.
Strong working knowledge of Apache Spark for distributed data processing and analytics.
Handson experience with Amazon Redshift or similar data warehousing technologies.
Advanced proficiency in SQL for querying analyzing and manipulating large datasets.
Experience with Advanced CDK (Cloud Development Kit) for infrastructure as code (IaC) development and deployment is highly desirable.
AWS CLI AWS APIs AWS CloudFormation templates AWS Management Console scripting language.
Integrating external APIs
Building CI/CD pipelines to deploy machine learning models
Big data processing: able to model database schema design and implement scalable data processing workflows
Data modeling data warehousing ETL
Machine Learning: able to productize ML models develop ML endpoints etc.
Familiarity with the full life cycle of software development from design and implementation to testing and deployment
Preferred Experience
Amazon tool set experience Brazil Pipelines
Certifications
AWS Certified Data Analytics Specialty
Proficiency in Python programming for data manipulation, scripting, and automation. Strong working knowledge of Apache Spark for distributed data processing and analytics. Hands-on experience with Amazon Redshift or similar data warehousing technologies. Advanced proficiency in SQL for querying, analyzing, and manipulating large datasets. Experience with Advanced CDK (Cloud Development Kit) for infrastructure as code (IaC) development and deployment is highly desirable. AWS CLI, AWS APIs, AWS CloudFormation templates, AWS Management Console, scripting language. Integrating external APIs Building CI/CD pipelines to deploy machine learning models Big data processing: able to model database schema, design and implement scalable data processing workflows Data modeling, data warehousing, ETL Machine Learning: able to productize ML models, develop ML endpoints, etc. Familiarity with full life cycle of software development, from design and implementation to testing and deployment Preferred Experience Amazon toolset experience - Brazil, Pipelines Certifications AWS Certified Data Analytics - Specialty
نوع التوظيف
دوام كامل
