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Description Roles & responsibilities Role Overview: The Associate 2 - Data Engineer with Databricks/Python 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 & technologies The Associate 2 - Data Engineer will be predominantly responsible for: Data Engineering Understand requirements, validate assumptions, and develop solutions using Azure Databricks, Azure Data Factory or Python. Able to handle any data mapping changes and customizations within Databricks using PySpark Build Azure Databricks notebooks to perform 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 Analyze enormous volumes of data using Azure Databricks and Apache Spark. Create pipelines and workflows to support data analytics, machine learning, and other data-driven applications Able to integrate Azure Databricks with ERP systems or third part systems using APIs and build Python or PySpark notebooks to apply business transformation logic as per the common data model Debug, optimize and performance tune and resolve issues, if any, with limited guidance, when processing large data sets and propose possible solutions Must have experience in concepts like Partitioning, optimization, and performance tuning for improving the performance of the process Implement best practices of Azure Databricks design, development, Testing and documentation Work with Audit engagement teams to interpret the results and provide meaningful audit insights from the reports Participate in team meetings, brainstorming sessions, and project planning activities Stay up-to-date with the latest advancements in Azure Databricks, Cloud and AI development, to drive innovation and maintain a competitive edge Enthusiastic to learn and use Azure AI services in business processes. Work experience on using Microsoft Fabric is an added advantage Write production ready code Design, develop, and maintain scalable and efficient 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). Design and implement ETL (Extract, Transform, Load) processes to ensure seamless data flow across systems using Azure Work experience on Microsoft Fabric is an added advantage Enthusiastic to learn, adapt and integrate Gen AI into the business process and should have experience working with Azure AI services Optimize data storage and retrieval processes to enhance system performance and reduce latency. Technical Skills Primary Skills: 2-4 years of experience in data engineering, with a strong focus on Databricks, PySpark, Python and Spark SQL. Proven experience in implementing ETL processes and data pipelines Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS) Ability to write reusable, testable, and efficient code Develop low-latency, high-availability, and high-performance applications Understanding of fundamental design principles behind a scalable application Good knowledge of Azure cloud services Familiarity with Generative AI and its applications in data engineering Knowledge of Microsoft Fabric and Azure AI services is an added advantage Enabling Skills Excellent analytical, and problem-solving skills Quick learning ability and adaptability Effective communication skills Attention to detail and good team player Willingness and ability to deliver within tight timelines Flexible to work timings and willingness to work on different projects/technologies Responsibilities Roles & responsibilities Role Overview: The Associate 2 - Data Engineer with Databricks/Python 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 pro .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.