Cloud Data Engineer

Skills required

• 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.