Data Engineer

Washington, DC, United States

Applications have closed

Arthur Grand Technologies Inc

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Company Description

Arthur Grand (AG) is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, AG has (been) successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development and Custom Programming, Full Stack Development, DevOps, DevSecOps, & CI/CD, Web & Mobile APP Development, Data Visualization and Data Warehousing, Financial/ERP System Implementation, Infrastructure Management. Arthur Grand’s culture of (delivery excellence) or excellent delivery, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results.

Job Description

Role: Data Engineer
Location: Washington, DC [Day-1 Onsite – Hybrid]

Duration: Long term contract

 

Roles and Responsibilities:

  • Candidate with experience as Data Architect, Data Engineering, or any related role to Data solutions.
  • Candidate should have a proven track record in leading and delivering Azure Data Analytics solutions.
  • Good experience in Developing Advanced Analytics solutions, Applying Data Visualization.
  • Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory [ADF], Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake.
  • Candidate should be capable to support in all the phases of Analytical Development from identification of key business questions, through Data Collection and ETL.
  • Strong knowledge of Data Modelling and Data Design is required for the role.
  • Role requires interplay between data and business process. Candidates who have performed this Role would be preferred.
  • Experience in the design of reporting & data visualization solutions such as Power BI or Tableau is a plus.
  • Knowledge and implementation in financial institutions is a plus.
  • Knowledge in Statistical Programming languages is a plus.
  • Knowledge in Machine Learning is a plus.
  • Microsoft Data Certification is a plus.

Education:

  • Bachelor's degree or equivalent practical experience.

Additional Information

All your information will be kept confidential according to EEO guidelines.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Azure CI/CD Data Analytics Data visualization Data warehouse Data Warehousing DevOps Engineering ETL Machine Learning Power BI SQL Statistics Tableau

Region: North America
Country: United States
Job stats:  48  25  1
Category: Engineering Jobs

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