Business Intelligence Developer (Hybrid)

TWO95 International, Inc
New York, NY, United States
2 months ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Business Logic Microsoft Azure Information Systems Data Cleansing Extract Transform Load (ETL) Data Mining Data Warehousing Python (Programming Language) MySQL
+11 more
Power BI Azure DevOps Pipelines SQL Databases Data Processing Scripting Git Containerization Information Technology Data Management Software Version Control Docker

Job description

  • Develop and maintain Python scripts for data extraction, transformation, and loading (ETL).
  • Perform data cleansing and preparation to ensure accuracy and completeness.
  • Utilize MySQL for data manipulation and to implement complex business logic.
  • Design and develop metrics and calculations within MySQL.
  • Containerize the Python application using Docker for consistent deployment.
  • Deploy and manage applications in the Azure Cloud environment using Azure DevOps pipelines.
  • Use Git for version control and collaboration with the development team.
  • Create dynamic and interactive reports and dashboards in Power BI.

Requirements

  • Bachelor s degree in Computer Science, Information Systems, or a related field.
  • Strong proficiency in Python and SQL, with a focus on data-related tasks.
  • Experience with Docker containerization and Azure cloud deployments.
  • Proficiency in Power BI for developing reports and dashboards.
  • Familiarity with Git and Azure DevOps for source control and CI/CD pipelines.
  • Excellent problem-solving skills and meticulous attention to detail.
  • Ability to work collaboratively in a fast-paced and dynamic environment.

  • Experience with latest Ai tools applicable to the role
  • Experience with data warehouse technologies and ETL tools.
  • Knowledge of Azure solutions and services.
  • Advanced Excel skills for report generation and data analysis.

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