Description

You will design, build, and maintain scalable data pipelines and warehouse solutions using Python, AWS, and PySpark. You own the end-to-end data lifecycle, from ingestion and modeling to migration and analysis.

Responsibilities

• Build and maintain large-scale data processing distributions and pipelines for actionable business insights.
• Update logical and physical data models to support new use cases and business requirements.
• Perform statistical data analysis to determine appropriate tools for comprehensive data insights.
• Ensure secure data access by implementing necessary controls within data system components.
• Make custom configuration changes in tools to generate products based on business or customer requests.

Required Skills

• 5+ years of applied experience in software development concepts.
• Proficiency in Python, AWS, and PySpark for data engineering tasks.
• Strong command of SQL for querying and data manipulation.
• Experience with Data Pipeline, Data Modeling, Data Warehouse, and Data Migration.
• Knowledge of NoSQL databases and distributed data systems.
• Ability to perform statistical data analysis on large datasets.
• Formal training or certification on software development concepts.

Key Skills

Education

Any Graduate