Job Requirements

Mandatory Skills

* Bachelor’s or higher degree in Computer Science or a related discipline; or
equivalent (minimum 5+ years work experience).

* At least 3+ years of consulting or client service delivery experience on
Azure Microsoft data engineering.

* At least 1+ 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 Synapse/Azure Databricks,
Microsoft Fabric

* Hands-on experience implementing data ingestion, ETL and data processing
using Azure services: Fabric, onelake, ADLS, Azure Data Factory, Azure
Functions, services in Microsoft Fabric etc.

* Minimum of 1+ years of hands-on experience in Azure and Big Data technologies
such as Fabric, databricks, Python, SQL, ADLS/Blob, pyspark/SparkSQL.

* Minimum of 1+ 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, etc.





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 creating data pipelines, integrating data from various sources, and
implementing data security and 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

* Experience developing and deploying ETL solutions on Azure cloud using ADF,
Notebooks, Synapse analytics, Azure functions and other services.

* Experience developing and deploying ETL solutions on Azure cloud using
services in Microsoft Fabric . Building medallion architecture using Fabric.
Metadata driven ingestion frameworks, Building Data quality frameworks, Data
transformation(SCD type1, SCD type 2) using

📌 Consultant - Databricks Azure (Bengaluru)
🏢 KPMG India
📍 Bengaluru