About this role
- Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent (minimum 4+ 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.
Other facts
About KPMG India
KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients.
Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.
What you'll do
- The Azure Data Engineer will be responsible for developing data ingestion, processing, and analytical pipelines. The role involves implementing ETL processes using various Azure services.
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