Staff Software Engineer- Eng (Finops Data Engineer)

UKG; Dadri; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

UKG in Noida is seeking a Lead Data Engineer to power the FinOps Platform & Reporting. You will build and support scalable data infrastructure, integrating cloud cost, usage, telemetry, and business data for forecasting and unit economics at enterprise scale.

You will own data models for allocation, budgeting, and optimization while collaborating with FinOps practitioners and engineering teams to enable reliable data, dashboards, and automated analytics.

Qualifications

• 5+ years of data engineering experience.
• Strong SQL and Python development skills.
• Experience with cloud-native data technologies and AWS/GCP.

Responsibilities

• Develop and maintain scalable ETL/ELT pipelines across AWS and GCP environments.
• Build data models supporting allocation, forecasting, budgeting, and optimization.
• Implement automated data validation and quality controls.
• Partner with FinOps practitioners and engineers to define data requirements and enable self-service analytics.

Skills

SQL

Python

Cloud-native data tech

AWS

GCP

DevOps

CI/CD

Docker

Kubernetes

Data warehousing

Dimensional modeling

Data orchestration

Education

Bachelor's degree in Computer Science, Engineering, Analytics, or related discipline

Tools

BigQuery

Snowflake

Databricks

Airflow

GitHub Actions

Jenkins

Terraform

CI/CD tooling

Job description

Why UKG

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

Why UKG

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

Lead Data Engineer (P4)

Job Title: Lead Data Engineer – FinOps Platform & Reporting

Location: Noida

About The Role

As a Lead Data Engineer – FinOps Platform & Reporting, you will build and support the core data infrastructure powering UKG’s FinOps platform. You will develop and maintain data pipelines that integrate cloud cost, usage, telemetry, and business data to enable forecasting, reporting, optimization, and unit economics at enterprise scale.

This role focuses on engineering execution and operational excellence, ensuring trusted, timely, and scalable data products that support cloud financial governance and decision-making.

Key Responsibilities

Data Engineering & Pipeline Development

• Develop and maintain scalable ETL/ELT pipelines across AWS and GCP environments.
• Integrate cloud billing, usage, telemetry, commitment, and operational datasets.
• Build data models supporting allocation, forecasting, budgeting, and optimization use cases.
• Implement automated data validation and quality controls.

FinOps Data Operations

• Support cloud cost allocation and tagging frameworks.
• Enable standardized reporting and unit economics calculations.
• Maintain data pipelines supporting chargeback/showback processes.
• Support automated anomaly detection and alerting capabilities.

Platform Enablement

• Build APIs and data services supporting dashboards, analytics, and AskFinOps capabilities.
• Implement CI/CD pipelines, automation, and Infrastructure as Code for data platform services.
• Optimize pipeline performance, scalability, and reliability.
• Support self-service analytics and reporting capabilities.

Collaboration

• Partner with FinOps practitioners, analysts, and engineering teams to define data requirements.
• Support forecasting and planning initiatives with accurate and timely data.
• Participate in platform modernization and automation initiatives.

Required Skills & Experience

• 5+ years of data engineering experience.
• Strong SQL and Python development skills.
• Experience with cloud-native data technologies.
• Experience building and supporting data pipelines in AWS and/or GCP.
• Experience with DevOps practices, CI/CD pipelines, and cloud automation.
• Experience with Docker, Kubernetes, and Infrastructure as Code tools.
• Understanding of data warehousing and dimensional modeling.
• Experience with data orchestration tools and CI/CD pipelines.

Preferred Qualifications

• Knowledge of cloud cost management and FinOps principles.
• Experience with BigQuery, Snowflake, Databricks, Airflow, or similar technologies.
• Experience with GitHub Actions, Jenkins, Terraform, or similar DevOps technologies.
• Experience with Generative AI tools and AI-enabled analytics platforms.
• FinOps Certified Practitioner certification.
• Bachelor's degree in Computer Science, Engineering, Analytics, or related discipline.

Company Overview

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [e-mail]