Data Engineer Role Focusing on Azure and Databricks Solutions
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Job Description
Become a key player as a Data Engineer in Azure and Databricks. Enjoy a hybrid work model while you build data-driven applications that enhance customer engagement.
As part of an agile team, you will design and implement data pipelines that support innovative analytics and applications. Your role will involve constructing reliable data lakes and warehouses using Microsoft tools, ensuring the efficient handling of data for various organizational needs. Engage with Azure Data Factory, Azure SQL, and more to make meaningful contributions.
Key Responsibilities:
- Create efficient data processing frameworks
- Build reliable data lake and warehouse solutions
- Collaborate in an agile environment to solve problems
- Support applications that drive reporting and analytics
- Utilize the Microsoft stack to enhance data strategy
Requirements
- Extensive experience as a Data Engineer
- Strong skills in Python, PySpark, and SparkSOL
- Familiar with Azure Data Factory and Synapse Analytics
- Good grasp of data governance practices
- Knowledgeable in data structure and processing techniques
Leverage your expertise to develop impactful data solutions and support the organization’s digital transformation effectively.
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