The Role
The Azure Data Engineer will implement big data pipelines using Azure technologies, collaborate with stakeholders, and utilize tools like Data Factory and Databricks.
Summary Generated by Built In
This is a remote position.
Description :
- At least 2 years hands on experience working with an Agile data engineering team working on big data pipelines using Azure in a commercial environment.
- Dealing with senior stakeholders/leadership
- Understanding of Azure data security and encryption best practices. [ADFS/ACLs]
- Data Bricks - experience writing in and using data bricks Using Python to transform, manipulate data.
- Data Factory - experience using data factory in an enterprise solution to build data pipelines. Experience calling rest APIs.
- Synapse/data warehouse - experience using synapse/data warehouse to present data securely and to build & manage data models.
- Microsoft SQL server - We- d expect the candidate to have come from a SQL/Data background and progressed into Azure
- PowerBI - Experience with this is preferred
Additionally :
- Experience using GIT as a source control system
- Understanding of DevOps concepts and application
- Understanding of Azure Cloud costs/management and running platforms efficiently
Requirements
- 3 to 6 years of experience.
- Must Have: Azure services like Azure Data Factory, Databricks, Azure Data lakes, Synapse/DW. and SQL
- Good to have: Python, PowerBI, Git
Skills Required
- At least 2 years of hands-on experience with Azure and big data
- Experience with Azure Data Factory, Databricks, and Synapse
- 3 to 6 years of experience in total
- Understanding of Azure data security best practices
- Experience with Python for data transformation
- Experience with PowerBI
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The Company
What We Do
Marktine is a data science and technology company specializing in AI-powered solutions, digital transformation, and IT consulting, focused on leveraging data to help clients make complex business decisions and streamline operations.
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