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Cloud DevOps & Integration - Consultant

KPMG Global Services

Full time
Experience
3–5 years
Location
Gurgaon, Bangalore
Work mode
Not stated
Salary
₹11L – ₹24L a year estimatetypical for IT Jobs in India, 962 posts
Posted 3 days ago Last checked 1 hr ago

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Role at a glance

You will
  • The ideal candidate is a master of core DevOps and Integration principles such as distributed computing and advanced data modelling and…
  • You will be responsible for the entire data lifecycle, from real-time ingestion to providing analytics-ready datasets for our Machine…
  • Your key responsibilities will include
Experience
3–5 years
Must-have skills
DatabricksSnowflake

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Job description

Location: Gurgaon; Bangalore, India

Job Description

Cloud Engineering – Consulting
The Consulting business at KPMG Global Services (KGS) is a diverse team of more than 6400 professionals. We work with KPMG Firms worldwide to transform the businesses of clients across industries through the latest technology and innovation. Our technology professionals combine deep industry knowledge with strong technical experience to navigate through complex challenges and deliver real value for our clients.

The Role
We are looking for 3 -5 years of experience as DevOps & Cloud Engineer or Integration Engineering, a highly skilled Senior DevOps & Cloud Engineer to design, build, and optimize next-generation integration platforms for our clients. The ideal candidate is a master of core DevOps and Integration principles such as distributed computing and advanced data modelling and possesses deep, hands-on expertise in at least one major cloud ecosystem (AWS, Azure or GCP). You will be responsible for the entire data lifecycle, from real-time ingestion to providing analytics-ready datasets for our Machine Learning and Business Intelligence teams.
Your key responsibilities will include -
Architect Pipelines: Design and build scalable ETL/ELT pipelines to ingest high-velocity telemetry and log data into our cloud warehouse.
Model Implementation: Partner with Data Scientists to build and maintain Feature Stores and automated ML training pipelines.
Infrastructure as Code: Utilize Docker, Kubernetes, and Terraform to deploy and manage containerized data services.
Optimization: Continuously monitor and optimize query performance, sharding strategies, and cloud costs across the data stack.
Data Governance: Ensure high data quality, integrity, and security standards are met across all production environments.

Mandatory Skills
Programming: Expert-level Python and Advanced SQL (Window functions, CTEs, and performance tuning).
Data Modeling: Proven experience with Star/Snowflake Schemas and managing Slowly Changing Dimensions (SCD Type 1, 2, & 3).
Distributed Computing: Hands-on experience with Apache Spark (PySpark/Scala) for processing multi-terabyte datasets.
Orchestration & Transformation: Proficiency with Apache Airflow for workflow management and dbt for modular data modeling.
Streaming: Experience with Apache Kafka or similar message brokers for event-driven architectures.
Key tech stacks – Cloud Expertise (either Azure or GCP)

Feature
Azure
GCP

Data Warehouse
Azure Synapse Analytics
Google BigQuery

Storage / Lake
Azure Data Lake (ADLS Gen2)
Google Cloud Storage

Serverless ETL
Azure Data Factory (ADF)
Google Cloud Dataflow

Managed Spark
Azure Databricks
Google Cloud Dataproc

Streaming/Pub-Sub
Azure Event Hubs
Google Cloud Pub/Sub

Compute / NoSQL
Azure Functions / Cosmos D
Cloud Functions / Bigtable

Governance & Lineage
Data Catalog/ Microsoft Purview
Lake Formation/ Google Dataplex

The person
Outstanding interpersonal skills with the ability to inspire teams and develop excellent client relationships
Previous experience in consulting and working on complex solutions to business executives

Embraces a growth mindset for business development, with an ability to influence senior stakeholders
Excellent communication (written and oral) skills capable of discussing complex ideas with various groups, ranging from a board room to business unit leads.
Good team player with strong commitment to professional and client service excellence.

Minimum Bachelor's degree in Computer Science, Information Technology or MCA.
Google Professional Data Engineer or Microsoft Azure Data Engineer Associate
Experience with Microsoft Fabric will be preferred.
Experience with Snowflake or Databricks as a centralized data platform.

Job Info
Job Identification
30047217
Posting Date
11/03/2026
Apply Before
11/08/2026
Degree Level
Graduation
Job Schedule
Full time
Locations
RMZ Ecoworld, Bangalore, Karnataka, 560037, IN

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

DatabricksSnowflake

Job market insights

19active Databricks jobs in Gurgaon
5active Snowflake jobs in Gurgaon
₹11L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 962 posts that show a salary; median ₹17L)
27 more open jobs at KPMG Global Services

Most IT Jobs posts in Gurgaon ask for 3–6 years of experience (40% of 429 that say).

Hiring most for IT Jobs in Gurgaon

  • AECOM50 open jobs
  • MongoDB27 open jobs
  • Konrad22 open jobs

Jobs asking for Databricks in Gurgaon also ask for

  • Python84%
  • SQL68%
  • Microsoft Azure53%
  • AWS47%
  • Data Engineering47%

From live job posts on CoreHRx, updated 6 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Cloud DevOps & Integration - Consultant job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 962 posts).

How much experience does this job need?

The post asks for 3–5 Yrs experience.

Where is this job based?

In Gurgaon, Bangalore.

What kind of job is this?

It is a full time job.

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