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DataBricks Assistant Manager Hiring at KPMG India

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Data Ingestion, Data Processing, Analytical Pipelines, ETL, DevSecOps, CI/CD, Big Data, Java, Python, SQL, Databricks, Azure Data Factory, Event Hub, Azure Stream Analytics, Azure SQL DB

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 managing data ingestion, processing, and analytical pipelines using Azure services. The assistant manager will provide practical direction and implement solutions for big data and cloud migration.