Data Science/Data Engineer

Below are the skills that we need:

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 for serverless compute, AWS Crawler for data cataloging, and AWS Athena for querying data lakes.

Write efficient, maintainable code in Python, R, and SQL to support data ingestion, transformation, and analysis.

Orchestrate and automate complex data pipelines using Azure Data Factory to ensure seamless data flow across systems.

Leverage Databricks for big data processing, implementing Medallion Architecture to ensure data quality and scalability.

Collaborate with cross-functional teams to translate business requirements into technical solutions.