Consultant at KPMG in Ukraine

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 May, 26

Salary

0.0

Posted On

25 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Solution, Data Ingestion, Data Processing, Azure Native Services, ADLS, Azure Data Factory, Azure Functions, Azure Logic App, Azure Synapse, Azure SQL DB, Databricks, Python, SQL, PySpark, SparkSQL, DevSecOps

Industry

Business Consulting and Services

Description

Job Requirements Mandatory Skills Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 4 years work experience). At least 2+ years of consulting or client service delivery experience on Azure Data Solution At least 2+ 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, Databricks etc. Experience in Data Analysis, data debugging, problem solving skills and business requirement understanding. Minimum of 2+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight Well versed in DevSecOps and CI/CD deployments Experience in using Big Data File Formats and compression techniques. Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git Experience with private and public cloud architecture, pros/cons and migration considerations. Primary Roles and Responsibilities An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services. This includes analyzing data, creating data pipelines, integrating data from various sources, debugging data issues and implementing data security & privacy measures. The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. Preferred Skills DevOps on an Azure platform Experience developing and deploying ETL solutions on Azure Cloud. Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud. Inclined with Microsoft vision and road map around latest tools and technologies in market. Knowledge on Microsoft Fabric, Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases. Microsoft certification’s role based. (DP600, DP203, DP900, AI102, AI900..) Microsoft PowerBI hands on and working knowledge, to create reports/dashboards and generate insights for business users.

Responsibilities

The primary role involves designing, building, and maintaining data infrastructure using Azure cloud services, which includes analyzing data, creating data pipelines, and integrating data from various sources. The engineer will also be responsible for debugging data issues, implementing security, monitoring data flows, and optimizing storage and processing for performance and cost efficiency.