Data Science/Data Engineer

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

AWS
R Shiny Apps
AWS Glue
AWS Crawler
AWS Athena
Azure Data Factory
Databricks
Medallion Architecture

Job Details

Data Science/Data Engineer:

We are looking for an experienced Data Engineer, to participate in a cloud infrastructure project and maintain AWS Cloud infrastructure, maintain crucial telematics ETL processes, build utility monitoring tables, create users, policies and permission sets.

Must Have: R Shiny Apps, AWS Glue, AWS Crawler, AWS Athena, Azure Data Factory, Databricks, Medallion Architecture

  • Maintain SageMaker docker backed RStudio infrastructure to enable data scientists to spin as much compute as they need.
  • Work on  MS Azure AI Foundry, selecting, deploying, testing, fine-tuning and policing AI models for the advanced analytics team.
  • Migration to MS Azure for applications, middleware, and API
  • 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.

 

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