What is a Data Engineer with Cloud (AWS Azure & GCP) Job?
A Data Engineer with Cloud (AWS, Azure & GCP) designs and manages data pipelines in cloud environments for efficient processing and analysis, ensuring adherence to best practices and compliance standards.
Data Engineer with Cloud (AWS Azure & GCP) job role
Data Engineer
- Specializes in designing, building, and maintaining data pipelines and architectures.
- Develops scalable and reliable solutions for data ingestion, processing, and storage.
- Implements ETL (Extract, Transform, Load) processes and data transformations to support analytics and machine learning.
Cloud Data Architect
- Designs cloud-based data architectures and solutions on AWS, Azure, and GCP.
- Defines data storage, processing, and analytics services to meet business requirements.
- Implements best practices for data security, privacy, and compliance in cloud environments.
Cloud Data Integration Specialist
- Focuses on integrating data sources and systems with cloud platforms like AWS, Azure, and GCP.
- Develops data integration pipelines and workflows using cloud-native tools and services.
- Ensures data consistency, accuracy, and reliability across integrated systems.
Big Data Engineer
- Manages and processes large volumes of structured and unstructured data using cloud-based big data technologies.
- Implements distributed computing frameworks like Hadoop, Spark, and Flink on cloud platforms.
- Designs and optimizes data processing workflows for performance and scalability.
Machine Learning Engineer
- Develops and deploys machine learning models and algorithms on cloud platforms.
- Utilizes cloud-based machine learning services like AWS SageMaker, Azure Machine Learning, and Google Cloud AI Platform.
- Implements end-to-end machine learning pipelines for training, evaluation, and deployment of models.
Data Governance Engineer
- Establishes and maintains data governance frameworks and policies in cloud environments.
- Implements data quality, security, and compliance measures to ensure regulatory requirements are met.
- Collaborates with data engineers and stakeholders to ensure proper data management practices in the cloud.