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Cloud Data Engineer

Saxon Global

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 4 days ago
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