Description

You will build and maintain data pipelines and interactive visualization applications.

Responsibilities

• Develop and deploy R-based Shiny Apps for interactive data visualization and user-facing applications.
• Design and implement backend data processing workflows using AWS Glue, AWS Crawler, and AWS Athena.
• Write efficient, maintainable code in Python, R, and SQL for data ingestion, transformation, and analysis.
• Orchestrate and automate complex data pipelines using Azure Data Factory.
• Leverage Databricks to implement Medallion Architecture for big data processing.
• Translate business requirements into technical solutions through cross-functional collaboration.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python, R, and SQL.
• Experience with AWS services including Glue, Crawler, and Athena.
• Hands-on experience with Azure Data Factory for pipeline orchestration.
• Experience using Databricks for big data processing.
• Knowledge of Medallion Architecture for data quality and scalability.
• Any Graduate degree.

Key Skills

Education

Any Gradute