Job DescriptionJOB DESCRIPTIONRoles & responsibilitiesRole Overview: The Senior Associate 1 - Azure Data Engineer with Gen AI/Fabric skills will be part of the GDC Technology Solutions (GTS) team, working in a technical role in the Audit Data & Analytics domain that requires developing expertise in KPMG proprietary D&A; (Data and analytics)) tools and audit methodology. He/she will be a part of the team responsible for extracting and processing datasets from client ERP systems (SAP/Oracle/Microsoft Dynamics) or other sources to provide insights through data warehousing, ETL and dashboarding solutions to Audit/internal teams and be involved in developing solutions using a variety of tools & technologiesThe Senior Associate 1 - Azure Data Engineer will be predominantly responsible for:Data Engineering (Primary Skills)- Azure data engineer expertise having experience working on all major Azure resources including expertise in development and debugging of programs using Databricks expertise.- Utilize Azure Databricks notebooks to build and manage data transformations, create tables, and ensure data quality and consistency. Leverage Unity Catalog for data governance and maintaining a unified data view across the organization.- Design, develop, and maintain scalable and effective data pipelines to process large datasets from various sources using Azure Data Factory (ADF).- Integrate data from multiple data sources and ensure data consistency, quality, and accuracy, leveraging Azure Data Lake Storage (ADLS).- Develop and manage data warehouses to store and organize large volumes of structured and unstructured data using Azure Synapse Analytics and other relevant Azure services.- Design and implement ETL (Extract, Transform, Load) processes to ensure seamless data flow across systems using Azure cloud platform- Work experience on Microsoft Fabric experience is an added advantage- Professional should be enthusiastic to learn, adapt and integrate Gen AI into the business process and should have experience working in Azure AI services- Optimize data storage and retrieval processes to enhance system performance and reduce latency.Power BI (Secondary Skills)- Design and develop visuals, reports,



and dashboard solutions in Power BI with RLS and other features as per business needs.- Hands on experience connecting to various data sources to load and transform data and Implement complex joins with multiple tables, using power query.- Highly skilled in writing DAX expressions to implement complex business calculations and data modeling needs.- Capable of developing standard data models like star schema or snowflake schema considering multiple fact and dimension tables.- Strong understanding of data structures, Data Analysis skills in identifying different trends, patterns, and other data issues within dataset and a good story telling skill using the given data.- Prepare technical specifications and documentation for solutions.- Understand business process & translate business logic into visual representations in a quick and accurate manner, perform end to end data validations.- Being proactive and engaged in bringing new ideas and solutionsRESPONSIBILITIESRoles & responsibilitiesRole Overview: The Senior Associate 1 - Azure Data Engineer with Gen AI/Fabric skills will be part of the GDC Technology Solutions (GTS) team, working in a technical role in the Audit Data & Analytics domain that requires developing expertise in KPMG proprietary D&A; (Data and analytics)) tools and audit methodology. He/she will be a part of the team responsible for extracting and processing datasets from client ERP systems (SAP/Oracle/Microsoft Dynamics) or other sources to provide insights through data warehousing, ETL and dashboarding solutions to Audit/internal teams and be involved in developing solutions using a variety of tools & technologiesThe Senior Associate 1 - Azure Data Engineer will be predominantly responsible for:Power BI (Secondary Skills)- Design and develop visuals, reports,



and dashboard solutions in Power BI with RLS and other features as per business needs.- Hands on experience connecting to various data sources to load and transform data and Implement complex joins with multiple tables, using power query.- Highly skilled in writing DAX expressions to implement complex business calculations and data modeling needs.- Capable of developing standard data models like star schema or snowflake schema considering multiple fact and dimension tables.- Strong understanding of data structures, Data Analysis skills in identifying different trends, patterns, and other data issues within dataset and a good story telling skill using the given data.- Prepare technical specifications and documentation for solutions.- Understand business process & translate business logic into visual representations in a quick and accurate manner, perform end to end data validations.- Being proactive and engaged in bringing new ideas and solutions#KGSQUALIFICATIONSJob RequirementsTechnical SkillsPrimary Skills:ØMinimum 4-6 Years Of Experience In Data Engineering.ØProficiency in SQL, Python or Pyspark notebooks development.ØStrong knowledge of ETL tools and processes.ØHands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and.ØComprehensive knowledge of Azure cloud services.ØExperience with Databricks notebooks for building transformations and creating tablesSecondary Skills:ØExpertise in Power BI, including DAX and Power Query.Enabling Skills- Excellent analytical, problem solving and troubleshooting abilities- Critical thinking: able to look at numbers, trends and data and come to new conclusions based on findings- Attention to detail and good team player- Quick learning ability and adaptability- Willingness and capability to deliver within tight timelines- Effective communication skills- Flexible to work timings and willingness to work in different projects/technologies- Collaborate with business stakeholders to understand data requirements and deliver solutionsEducation Requirements- B. Tech/B.E/MCA (Computer Science / Information Technology)

📌 Senior Engineer (Bengaluru)
🏢 Kpmg Services
📍 Bengaluru