Overview
The Cloud Data Engineer plays a crucial role in the organization's data management and analytics initiatives by designing, implementing, and maintaining cloud-based data solutions. They are responsible for creating scalable and reliable data infrastructure in the cloud, enabling efficient data processing and analysis. This role is essential for ensuring that the organization can leverage the full potential of its data assets while maintaining high levels of security and compliance.
Key responsibilities
- Designing and implementing cloud-based data platforms and solutions.
- Developing data pipelines and ETL processes to extract, transform, and load data from various sources.
- Optimizing data storage, retrieval, and processing to ensure high performance and scalability.
- Collaborating with data scientists and analysts to support their data needs and enable advanced analytics.
- Ensuring data security, integrity, and compliance with regulatory requirements.
- Monitoring and troubleshooting data infrastructure to ensure smooth operations.
- Implementing best practices for data management, version control, and documentation.
- Automating and orchestrating data workflows and processes.
- Contributing to the evaluation and selection of cloud-based data technologies.
- Supporting and training users on data tools and platforms.
- Participating in the design and implementation of disaster recovery and business continuity plans for data systems.
- Collaborating with cross-functional teams to define and deliver data engineering solutions that meet business objectives.
- Staying updated with the latest trends and developments in cloud data engineering and implementing best practices.
- Documenting system designs, configurations, and processes.
- Performing performance tuning and capacity planning for data systems.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience in designing, building, and maintaining cloud-based data infrastructure.
- Proficiency in programming languages such as Python, Java, or Scala for data processing and analysis.
- Strong understanding of distributed systems and big data technologies.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Expertise in data modeling, ETL processes, and data warehousing concepts.
- Familiarity with database technologies including SQL and NoSQL databases.
- Knowledge of data governance, security, and compliance best practices.
- Ability to work with cross-functional teams and communicate effectively with stakeholders.
- Experience with data visualization and BI tools is a plus.
- Certifications in cloud technologies and data engineering are advantageous.
- Strong problem-solving skills and attention to detail in data engineering projects.
- Excellent organizational and time management skills to handle multiple tasks and projects simultaneously.
- Capability to adapt to a dynamic and fast-paced work environment.
- Strong analytical and critical thinking abilities for data-related challenges.
Skills: big data,distributed systems,data modeling,python,sql,data engineering,infrastructure
