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Title
Text copied to clipboard!Cloud Data Engineer
Description
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We are looking for a Cloud Data Engineer to join our dynamic technology team. As a Cloud Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines on cloud platforms such as AWS, Azure, or Google Cloud. You will collaborate closely with data scientists, analysts, and software engineers to ensure efficient data flow, storage, and accessibility across the organization. Your expertise will be crucial in implementing best practices for data security, governance, and compliance, as well as optimizing data processing for performance and cost. In this role, you will work with a variety of data sources, including structured and unstructured data, and leverage modern data engineering tools and frameworks. You will also be responsible for monitoring and troubleshooting data systems, automating workflows, and supporting the deployment of machine learning models and analytics solutions. The ideal candidate has a strong background in cloud computing, big data technologies, and programming, with a passion for solving complex data challenges. You should be comfortable working in a fast-paced environment, adapting to new technologies, and communicating technical concepts to both technical and non-technical stakeholders. If you are driven by innovation and eager to make an impact through data, we encourage you to apply and help us shape the future of our data-driven organization.
Responsibilities
Text copied to clipboard!- Design, build, and maintain cloud-based data pipelines and architectures.
- Collaborate with data scientists and analysts to understand data requirements.
- Implement data security, governance, and compliance best practices.
- Optimize data processing for performance and cost efficiency.
- Integrate data from multiple sources, both structured and unstructured.
- Monitor, troubleshoot, and resolve issues in data systems.
- Automate data workflows and processes.
- Support deployment of machine learning models and analytics solutions.
- Document data engineering processes and architectures.
- Stay updated with emerging cloud and data technologies.
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Engineering, or related field.
- Experience with cloud platforms (AWS, Azure, or Google Cloud).
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data tools (Spark, Hadoop, etc.).
- Strong understanding of data modeling and ETL processes.
- Knowledge of data security and compliance standards.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes).
- Excellent problem-solving and communication skills.
- Ability to work collaboratively in a team environment.
- Experience with CI/CD pipelines and DevOps practices is a plus.
Potential interview questions
Text copied to clipboard!- What cloud platforms have you worked with in previous roles?
- Describe your experience with building data pipelines.
- How do you ensure data security and compliance in your projects?
- Which big data technologies are you most comfortable with?
- Can you provide an example of optimizing a data workflow for cost or performance?
- How do you handle integrating data from multiple sources?
- Describe a challenging data engineering problem you solved.
- What programming languages do you use for data engineering tasks?
- How do you stay updated with new cloud and data technologies?
- Have you supported machine learning or analytics deployments before?
