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Job Requirements of Azure Data Engineer:
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Employment Type:
Full-Time
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Experience:
Not Specified
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Education:
Not Specified
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Travel:
Not Specified
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Manage Others:
Not Specified
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Location:
Bengaluru, Karnataka (Onsite)
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Azure Data Engineer
Skill : Azure Data Engineer
Responsiblities :
In the Information Age, data is the most valuable resource. If you can describe yourself as the powerful combination of data hacker, analyst, communicator, and advisor, our Data Specialist position is the right one for you. As a savvy liaison for our teams, you will create solutions and provide actionable insights that shape the future of our business.
Your Role and Responsibilities
In the Information Age, data is the most valuable resource. If you can describe yourself as the powerful combination of data hacker, analyst, communicator, and advisor, our Data Specialist position is the right one for you. As a savvy liaison for our teams, you will create solutions and provide actionable insights that shape the future of our business.
Responsibilities
Ability to showcase strong data architecture design using Azure data engineering capabilities, Client facing role, should have strong communication and presentation skills
Required Technical and Professional Expertise
Should have minimum of 4 years of experience in Azure Cloud Data Engineering
Provide technical expertise in the design and development using Azure Cloud
Collaborated with business stakeholders to identify and meet data requirements
Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources
In-depth technical knowledge of tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS etc.
Delivered ETL solution including data extraction, transformation, cleansing, data integration and data management
Designed ingestion layer for structured & unstructured data & implement specific data model for business & analytics use
Implemented batch & near real time data ingestion pipelines
Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.
Recommended Skills
- Activities Of Daily Living (Ad Ls)
- Azure Data Factory
- Cloud Platform System
- Communication
- Data Analysis
- Data Integration
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Job ID: 17236303
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