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Lead Azure Data Engineer

Amnet Digital
Hyderabad, Telangana

Apply Now

Job details

Qualifications

Azure
Business intelligence
Enterprise Software
Microsoft SQL Server
Git
SQL
Scripting
GitHub
SSIS
Business requirements
Python
Analytics

Full job description

Who are we?

We are an Artificial Intelligence Services and Solutions company that focuses on applying Machine Learning, Deep Learning and Advanced Analytics to solve the problems of businesses. Amnet Digital has highly experienced talent from world-leading institutions and technology companies. We have successfully applied AI Technologies in Enterprise Software, Retail, eCommerce and Healthcare. Our digital product engineering teams design and deploy enterprise solutions that are robust, secure and scalable.

Job Level: Senior level

Experience: 8 - 12 years

Location: Hyderabad, India

About the Role

Azure Data engineering team is leading the transformation of data analytics with products like databases, data integration, messaging & real-time analytics, and business intelligence. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries

Your Key Responsibilities

Expertly perform tasks under supervision.
Develop and maintain end-to-end data pipelines using cloud-native solutions to extract, load, and transform data from disparate data sources to a cloud data warehouse.
Capable of formatting and distributing custom data extracts through various means like RestAPIs and other bulk data transfer mediums) and optimizing data storage options based on business requirements.
Hands on experience of designing architecture for data focused Microsoft Azure projects.
Competent in helping to develop design database structure and function, schema design, and database testing protocols.
Contribute to the process of defining company data assets (data models) and custom client workflows, as well as standardized data quality protocols.
Capable of independently and collaboratively troubleshooting database issues and queries for improving data retrieval times across various systems (e.g., via SQL).
Collaborate with both technical and non-technical stakeholders including IT, Data Science, and various team members across a diverse array of business units.
Work closely with IT team whenever necessary to help facilitate, troubleshoot, or develop database connectivity between internal external resources (e.g., on-premises Azure Data Lakes, Data Warehouses, and Data Hubs).
Help implement and enforce enterprise reference architecture and ensure that data infrastructure design reflects enterprise business rules as well as data governance and security guidelines.
Hands-on experience in Azure Blob storage, ADLS.
Proficient in SQL Scripting on cloud-based data warehousing tools.
A willingness to learn and grow with MS Fabric technology and advanced analytical tools.
Microsoft Certified: Fabric Analytics Engineer Associate certification or working knowledge on Microsoft Fabric Lake house is a plus.
Knowledge on version control tool preferably GitHub.

Key Skills:

Azure Data Factory
Azure ADF
Azure Data Lake
Microsoft Fabric
Python / Pyspark
SSIS
SQL

Job Timings: 5PM to 2AM IST

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