Description

You will own the development and maintenance of large-scale data processing systems and pipelines.

Responsibilities

• Build and optimize data processing workflows using Hadoop, Spark, and Hive.
• Implement data validation processes using Python and data science libraries.
• Manage and architect data solutions within AWS cloud environments.
• Execute data warehousing tasks and queries within Snowflake.

Required Skills

• 8+ years of experience in Big Data development including Hadoop, Spark, and Hive.
• 8+ years of experience with Python and data science libraries for data validation.
• 6+ years of hands-on experience with AWS cloud.
• 6+ years of experience with Snowflake.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate