
Senior Cloud Data Architect
5 days ago
We are seeking a skilled Data Engineer to join our team and build a robust data infrastructure that leverages analytics platforms.
This role involves designing, architecting, and integrating data storage solutions using cloud-based services like AWS and Databricks.
The ideal candidate will have expertise in designing, architecting, and integrating data storage solutions using cloud-based services like AWS and Databricks.
Main Responsibilities:
- Design data storage solutions and integrate various cloud services.
- Create, manage, and optimize data pipelines using cloud-based services and tools.
- Integrate data from various sources into cloud environments, ensuring data consistency and quality.
- Develop ETL processes to cleanse, transform, and enrich data, making it suitable for analytical purposes.
- Monitor and optimize data processing and query performance in cloud environments, making necessary adjustments to meet performance and scalability requirements.
- Implement security best practices and data encryption methods to protect sensitive data in cloud environments.
- Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using cloud services and tools.
Requirements:
- Bachelor's or master's degree in computer science, data engineering, or a related field.
- Minimum 10 years of experience in data engineering, with expertise in cloud services and tools.
- Proficiency in programming languages like Python, Java, or Scala for building data pipelines.
- Strong knowledge of SQL and NoSQL databases.
- Familiarity with data modeling and schema design.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
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