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CloudNuro.AI
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Data Platform Engineer

Data Platform Engineer

CloudNuro.AI

5 - 10 years

7 - 12 Lacs

Bengaluru

Posted:1 day ago| Platform:

Apply

Skills Required

Automation Data management Data modeling Machine learning OLAP Open source JIRA Analytics SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Description:

About CloudNuro.ai

CloudNuro.ai is a next-generation SaaS company focused on bringing artificial intelligence and machine learning to SaaS operations and management, optimizing SaaS spend, improving security and compliance, developing SaaS insight, and maximizing ROI for SaaS investment. CloudNuro offers a central point from where, apart from discovering the growing stack of SaaS applications, software administrators can manage application access for users/teams, licensing and spending, IT workflows, integration, data and access security, SaaS related process automation and policy compliance. Our customers are Fortune 500 corporations and public sector organizations, making your contributions vital to improving IT security and governance.

For more information, please visit www.cloudnuro.ai and follow us on LinkedIn here at

Job Overview

We are on the cusp of a major transformation in our data capabilities, and we are looking for a

hands-on Data Platform Engineer

to help lead the way. Working alongside a Staff Data Architect and Engineer, you will play a key role in

designing and setting up the next generation of our lakehouse and analytics platform

a foundation that will directly drive the next phase of our company s growth and innovation.

This is a unique opportunity to build an entire modern data stack from the ground up, combining cutting-edge open-source tools and cloud-native infrastructure.

Key Responsibilities

Hands-on Architecture and Development:
Define, design, prototype, and deliver a robust lakehouse and analytics platform leveraging best-in-class technologies.

Build the Core Platform:
Collaborate with the Staff Data Architect to set up core infrastructure involving ingestion (ETL/ELT), warehouse, transformation, orchestration, and BI/analytics layers.

Leverage Modern Data Stack:
Work across an environment involving GCP-based compute instances and containers (Airbyte, ClickHouse, dbt, metriql, Prefect, Metabase, Next.js frontend) bringing cutting-edge engineering principles to life.

Optimize for Scale and Security:
Implement warehouse best practices, optimize performance for large-scale analytics, and enforce role- and attribute-based access controls.

Data Modeling Excellence:
Design flexible and scalable models to support real-time analytics, complex business queries, and long-term historical analysis.

Innovation and Automation:
Drive automation wherever possible in data ingestion, validation, transformation, and reporting processes.

Cross-functional Collaboration:
Work closely with Product, Engineering, and Leadership teams to ensure alignment with broader company objectives and business strategies.

Mentor and Uplift:
Provide technical mentorship to junior engineers and set high standards for operational excellence across the data organization.

Drive Success Metrics:
Align milestone progress with leadership goals around platform adoption, scalability, reliability, and impact on business KPIs.

Skills Required

5+ years of experience designing, building, and scaling modern data platforms.

Proven hands-on expertise with ETL/ELT pipelines, cloud-based warehouses (SQL, NoSQL, MPP, OLAP/OLTP), and advanced database optimization.

Strong SQL and Python skills for data engineering and automation.

Familiarity with setting up containerized data services (Docker/Kubernetes environments).

Deep understanding of cloud platforms at least one of GCP, AWS, or Azure.

Exposure to analytics workflows and BI environments.

Strong experience working with Git, Jira, Confluence, Jenkins, and modern DevOps pipelines.

What Wed Love to See

Direct experience standing up a
lakehouse architecture
in a startup or fast-moving environment.

Hands-on experience with tools such as Airbyte, dbt, Prefect, Metabase, metriql, or equivalents.

Experience developing customer-facing analytics platforms or embedded analytics solutions.

Solid foundation in time-series data management, trend analysis, and anomaly detection.

Ability to thrive in a high-ownership, highly autonomous role with startup energy.

Why us?

Build the Foundation:
You ll help architect a core platform that will power the companys data products and operational excellence for years to come.

Be Early:
As an early member of the team, you ll have outsized influence on technology choices, design decisions, and operational frameworks.

Own and Accelerate:
Take on massive ownership, ship at startup speed, and see your work directly drive business outcomes.

Culture of Excellence:
Join a sharp, no-nonsense team focused on integrity, innovation, and rapid personal and professional growth.

Compensation

We offer a competitive package commensurate with your experience and the value you bring.

Role:

Data Platform Engineer

Experience:

5+ years

Bengaluru, Karnataka, India (Hybrid)

Department:

Engineer

Salary

Negotiable (Not Disclosed)

Our Values

Dedicated to our values, we uphold integrity, accountability and inclusivity in all that we do. Together, we shape a better world.

Earn Trust

The singular focus of our business is to earn the trust of our people, partners, customers and investors.

Invent and Simplify

Innovation is our passion, and we continuously work to simplify and make it easy for our people, customers and customers customers.

Customer Delight

Customer success is our obsession; we start with the customer s mindset, work backwards and strive hard to earn and keep customer trust.

Deliver Results

A measurable result is the measure of our business; we guarantee to deliver results with the right quality and in a timely fashion.

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Data Platform Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

hands-on Data Platform Engineer

designing and setting up the next generation of our lakehouse and analytics platform

Hands-on Architecture and Development:

Build the Core Platform:

Leverage Modern Data Stack:

Optimize for Scale and Security:

Data Modeling Excellence:

Innovation and Automation:

Cross-functional Collaboration:

Mentor and Uplift:

Drive Success Metrics:

lakehouse architecture

Build the Foundation:

Be Early:

Own and Accelerate:

Culture of Excellence:

Salary

More Jobs at CloudNuro.AI