Kpmg Services
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Bengaluru · On-site · 1-3 Yrs · Oct 28
Business consulting · 10000+ Employees · Amstelveen, Netherlands
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. With 75+ offices and more than 40,000 employees and partners through out the U.S., we’re leading the industry in new and exciting ways. Providing innovative business solutions and Audit, Tax, and Advisory services to many of the world’s largest and most prestigious organizations, our size and strength make us agile and responsive to changing trends. By helping other organizations identify risk and grasp opportunities, we’re driving positive, sustainable change for clients, our people, and society at large.
Hiring: Engineering
What employees say
+ Good exits post completion of 1-2 years, dont stay longer
− Extremely toxic place because of constant comparisions
More reviews on the company profile.
Interview experience · Analyst
It was for about 30mins and it was difficult for someone with just 3 years of experience. The questions they asked were for someone who’s highly experienced. The interview process was slow.
Difficult difficulty · Bengaluru · 2,212 reports
More interview insightsJob description
Overview
Azure Data Engineer is responsible for designing and developing data solutions/pipelines using Microsoft Azure cloud services. The role involves creating scalable data pipelines, integrating data from multiple sources, and implementing strong data security and privacy controls.
Responsibilities
- Azure Data Engineer is responsible for designing and developing data solutions/pipelines using Microsoft Azure cloud services. The role involves creating scalable data pipelines, integrating data from multiple sources, and implementing strong data security and privacy controls.
- The Azure Data Engineer will also monitor and troubleshoot data flows, optimize data storage and processing for performance and cost efficiency, and support AI and Generative AI (GenAI) initiatives by enabling high‑quality and reliable data pipelines.
- Interact with multiple stakeholders and manage the end-to-end data project delivery from project requirements, solutioning and execution and hand off to operations.
- Own the architecture, design, and delivery of scalable data storage and processing solutions using Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
- Define and enforce data engineering standards, best practices, and design patterns across teams.
- Provide technical leadership and oversight for complex ETL/ELT pipelines.
- Lead data engineering support for AI and GenAI workloads, including preparation and management of training datasets, embeddings, and inference pipelines.
- Partner with data scientists, AI engineers, and solution architects to meet AI performance and governance requirements.
- Manage, mentor, and grow a team of Azure Data Engineers.
- Plan capacity, allocate work, and ensure timely delivery of initiatives.
- Drive adherence to Agile delivery practices.
- Drive optimization of storage, compute, and pipelines for performance and cost efficiency.
- Review and approve designs with long-term sustainability in mind.
Qualifications
- Bachelor's degree in computer science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- Experience with Azure cloud services, specifically data storage and data processing solutions.
- Strong knowledge of data warehousing and ETL (Extract, Transform, Load) concepts.
- Hands‑on experience with SQL, Python and PySpark.
- Understanding of GenAI and LLM data concepts, including training data, embeddings, and inference pipelines.
- Strong understanding of data security and privacy best practice.
- Experience with monitoring and troubleshooting data pipelines.
- Strong problem‑solving and analytical skills.
- Effective communication skills to collaborate with cross‑functional teams.
- Experience with data governance is a plus.
- Proven experience leading and mentoring teams.
- Strong communication and stakeholder management skills.
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Job application FAQ
Last updated 5 November 2026
- How do I apply for Azure Data Engineer - AM- MFT KGS CH at Kpmg Services?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kpmg Services may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Data Engineer - AM- MFT KGS CH role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Data Engineer - AM- MFT KGS CH remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Azure Data Engineer - AM- MFT KGS CH role at Kpmg Services?
- This is a mid-level Azure Data Engineer - AM- MFT KGS CH role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.