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Azure Data Engineer - Assistant Manager at KPMG India

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Data Ingestion, Data Processing, Analytical Pipelines, Big Data, Azure Synapse, Azure Native Services, ADLS, Azure Data Factory, Azure Functions, Azure Logic App, Databricks, Python, SQL, DevSecOps, CI/CD

Industry

Business Consulting and Services

Description

Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent (minimum 7 years work experience). At least 4+ years of consulting or client service delivery experience on Azure At least 4+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Azure Synapse Extensive experience providing practical direction with using Azure Native services. Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure Logic App Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Databricks, Cosmo DB etc. Minimum of 4+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight and live streaming technologies such as EventHub, Azure Stream Analytics etc. Well versed in DevSecOps and CI/CD deployments Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, etc. Minimum of 4+ years of RDBMS experience Experience in using Big Data File Formats and compression techniques. Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, Jenkins, etc. Experience with private and public cloud architectures, pros/cons, and migration considerations.

Responsibilities

The role involves developing data ingestion, data processing, and analytical pipelines for big data and data warehouse solutions primarily using Azure services. This includes providing practical direction on utilizing various Azure Native services for data management and processing tasks.