Brief Description of position:

Data Engineer- Azure

Level: Associate Consultant/Consultant/Assistant Manager

Role & ResponsibilitY

• Evaluating, developing, maintaining and testing data engineering solutions for advanced analytics projects.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
• Distill business requirements and translate into technical solutions for data systems including data warehouses, cubes, marts, lakes, ETL integrations, BI tools or other components.
• Strong knowledge of replication processes, change data capture processes, T-SQL, and Dynamic SQL skills
• Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
• Optimize data integration platform to provide optimal performance under increasing data volumes
• Support the data architecture and data governance function to continually expand their capabilities
• Support the automation of requirements of database deployments using Azure DevOps
• Experience in development of Solution Architecture for Enterprise Data Lakes (applicable for AM/Manager level candidates)
• Should have exposure to client facing roles
• Strong communication, inter-personal and team management skills

THE INDIVIDUAL

• Proficient in any object-oriented/ functional scripting languages: Java, Python, C# etc.
• Design and develop new solutions on the Azure Cloud Platform specifically for Azure SQL Data Warehouse/DB, Azure Data Factory, Analysis Services, Azure Data Lake Store / Blob
• Hands-on experience working in complex data warehouse implementations using Azure SQL Data warehouse, Azure Data Factory and Azure SQL Database.
• Strong t-SQL skills with experience in Azure SQL DW
• Experience in creating data pipelines using Azure Data Factory, Polybase and U-SQL.
• Experience in developing data pipelines to transform, aggregate and or process data using Azure Databricks platform
• Hands-on experience in implementing Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data ingestion scenarios
• Experience in creating tabular models (DAX) in Visual Studio.

Qualification

• BE/BTech/MCA
• 2-8 years of strong experience in 3-4 of the above-mentioned skills.

CRITERIA

• Education 60% above throughout academics
• One 3 years (at least) regular course is must either Diploma or Graduation

WoRK Timing

Monday to Friday

 

WoRK Location

KPMG India, Bangalore, Mumbai, Pune, Gurgaon

Location

Bangalore, Mumbai, Pune, Gurgaon