KPMG Global Services
KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements
The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network.
As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India).
- Furthermore, as KPMG in India, we were recognized as one of the ‘Best Companies for Millennials’ at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as ‘the Great Indian Workplace’ at the Culture Summit and Great Indian Workplace Awards 2019.
Team Overview
KPMG’s network of Data & Analytics professionals recognizes that analytics has the power to create great value. That is why they take a business-first perspective, helping solve complex business challenges using analytics that clients can trust.
Data & Analytics professionals focus on solving complex business issues across all the key drivers of organizational value, including growth, risk and performance. And they work to deliver an unwavering commitment to precision and quality in everything they do.
Roles and Responsibilities
Designation
Consultant
Reporting to
Abhirup Bose
Role type
Azure Data Engineer
Employment type
Full-time
Job Requirements
Mandatory Skills
- 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.
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 Fabric notebooks or databricks
- Added advantage to have exposure to Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases.
- Microsoft certification’s role based. (DP600, DP203,DP900, AI102, AI900..)
- Knowledge of Microsoft Powerbi, reports/dashboards and generate insights for business users.
- 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.
Other Information
Number of interview rounds
2
Mode of interview
Virtual
Job location
Bangalore
Clean room policy (specific to business)
NA
Culture
- Corporate Social Responsibility programs
- Maternity and paternity leave
- Opportunities to network and connect
- Discounts on products and services
Note: Benefits/Perks listed above may vary depending on the nature of your employment with KPMG and the country where you work.
- © 2021 KPMG Global Services Private Limited, a company incorporated under the laws of India and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited (“KPMG International”), a private English company limited by guarantee. All rights reserved. The KPMG name and logo are trademarks used under license by the independent member firms of the KPMG global organization.
- The term “KGS” refers to the KGS Platform of Indian delivery entities, which consist of KPMG Global Services Private Limited (“KGSPL”), KPMG Global Services Management Private Limited (“KGSMPL”), KPMG Global Delivery Center Private Limited (“GDCPL”) and KPMG Resource Centre Private Limited (“KRCPL”), unless the specific private limited entity is specifically noted.
- Use in these materials of the term “Our”, or “Us” means KGSPL, KGSMPL, GDCPL and/or KRCPL as the case may be and all four such legal entities are referred to collectively as “KGS”.
- Note that Audit services for the clients of the US and Canadian firms are delivered from the GDCPL and for UK (and other firms except US and Canada) Audit services are delivered from KRCPL.
KPMG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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.
- 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.
