Azure Data Engineer
- Impressico Business
- 5 - 7 years
- Noida, Gurugram
- 2 years ago
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Job Description
- Create and maintain optimal data pipeline architectures.
- Enterprise-scale technical experience with Azure cloud and hybrid infrastructures, architecture designs, and technology management.
- Experience with Distributed Data Processing of big data batch and streaming pipelines.
- Knowledge in Python to interact with data sources/sinks such as Relational/NoSQL databases, persistent storage like Azure Blob and streaming systems.
- Familiar with Relational database modelling concepts (ER/Dimensional modelling) and accessing patterns (SQL/MDX).
- Experience with Azure cloud tools; Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databrick, Azure Purview.
- Optimize data delivery for greater scalability.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure or AWS cloud technologies.
- Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.
enabling and running data migrations across different databases and different servers performing thorough testing and validation to support the accuracy of data transformations and data verification to be used by downstream applications. - Strong critical thinking capabilities. Approach all work with a consultative mindset
Job Specification
- Certification in Azure
- Knowledgeable in Continuous Integration/Continuous Deployment (CI/CD) concepts and methods.
- Knowledge in Python to interact with data sources/sinks such as
- Relational/NoSQL databases, persistent storage like Azure Blob and streaming systems.
- Strong experience in on prem to cloud migrations of applications and infrastructure
- Good knowledge of XML, XSLT, XML Schema and JSON
- Hands-on experience in the following: Azure Synapse, Azure Data bricks, Azure ADLS, Azure SQL Server, AWS Glue, AWS EMR, AWS Redshift
- Familiar with Relational database modelling concepts (ER/Dimensional modelling) and accessing patterns (SQL/MDX).
- Orchestration experience of data pipelines on-premises or on the cloud including automation
- Enterprise-scale technical experience with Azure cloud and hybrid infrastructures, architecture designs, and technology management.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Impressico BusinessLocation(s): Noida, Gurugram
Keyskills: Automation Technology management NoSQL Data processing XSLT JSON XML schema Analytics SQL Python
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Impressico Business
Impressico is a result-driven digital transformation consulting company, which aims at providing state-of-the-art technology solutions to its global clients for over two decades now. Our extremely experienced technology engineers and developers have created splendid and innovative technology product...
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