Overview
On Site
$50 - $60
Contract - W2
Contract - Independent
Contract - 9 Month(s)
Skills
Extract
Transform
Load
Microsoft Power BI
Data Validation
Data Engineering
Scope
Scripting
Scala
Python
Data Visualization
Microsoft Azure
Job Details
Job Description:
Design and develop end-to-end data pipelines:
Expertise in SQL, C#, and Scripting languages. Experience in Python will be a PLUS.
Develop, construct, test, and maintain architectures, such as databases and data processing.
Strong problem solving and analytical skills.
Create and maintain optimal data pipeline architecture.
Expertise in data visualization tools like: PowerBi, Grafana, etc.
Expertise in data validation and coming up good data kpi s.
Expertise in developing and deploying data pipelines using Azure services and managing azure subscriptions.
Data engineering, insights generation and analytics with deep domain knowledge understanding.
Manage and optimize data storage systems for performance and scalability.
Additional qualifications:
Experience with Scala, Python
Experience with Azure Synapse, Azure Data Factories
Experience with data lakes (Azure Data lakes preferred)
Experience with Cosmos VCs, scope/iscope
Experience with large-scale ETL and enrichment pipelines
Expertise in SQL, C#, and Scripting languages. Experience in Python will be a PLUS.
Develop, construct, test, and maintain architectures, such as databases and data processing.
Strong problem solving and analytical skills.
Create and maintain optimal data pipeline architecture.
Expertise in data visualization tools like: PowerBi, Grafana, etc.
Expertise in data validation and coming up good data kpi s.
Expertise in developing and deploying data pipelines using Azure services and managing azure subscriptions.
Data engineering, insights generation and analytics with deep domain knowledge understanding.
Manage and optimize data storage systems for performance and scalability.
Additional qualifications:
Experience with Scala, Python
Experience with Azure Synapse, Azure Data Factories
Experience with data lakes (Azure Data lakes preferred)
Experience with Cosmos VCs, scope/iscope
Experience with large-scale ETL and enrichment pipelines
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.