Cloud Data Engineer
Saxon Global Inc
Job Title
Cloud Technologies: Proficiency in cloud platforms like Azure, AWS, or Google Cloud.
Data Engineering: Strong understanding of data warehousing, data lakes, and ETL processes.
Programming: Experience with programming languages like Python, Java, or Scala. Cloud Data Platform: Strong experience with Cloud Data Platform like Databricks (preferred), Snowflake, Redshift, etc.
Databricks Expertise: Deep understanding of Databricks architecture, including clusters, jobs, notebooks, and workspaces.
Database Technologies: Knowledge of relational and NoSQL databases.
Infrastructure as Code: Understanding of IaC and good exposure to tools like Terraform or CloudFormation.
DevOps Principles: Understanding of CI/CD pipelines and automation.
Problem-Solving: Ability to analyze and solve complex technical problems.
Communication: Strong communication and collaboration skills.
Vacancy posted 5 days ago
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