Proficiency in Python and SQL is essential., Experience with cloud platforms such as AWS, GCP, or Azure is required., Familiarity with Snowflake and ETL processes is necessary., A background in data engineering or related fields is preferred..
Key responsibilities:
Design and implement data pipelines in cloud environments.
Collaborate with cross-functional teams to gather requirements and deliver solutions.
Optimize data storage and processing for performance and cost efficiency.
Monitor and troubleshoot data workflows to ensure reliability.
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