Staff Software Engineer- Data

Itron, Inc.

Bengaluru

Ibrido

INR 1.200.000 - 2.400.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

iGrow program
iBelong program
Paid internships, co‑op andapprentices
Generous and flexible paid time off

Descrizione del lavoro

Itron, Inc. in Bengaluru is seeking a data‑driven software engineer to help build a modern, engineering‑first Data Platform for multiple product teams.

You will contribute to reliable, scalable, self‑service data solutions powering utilities and cities. You will develop reusable platform components using Python and Spark, deploy production‑grade data processing apps on Databricks, and collaborate across teams to enhance ingestion, processing, observability, and governance.

Competenze

  • 2–4 years of professional software engineering experience.
  • Strong programming skills in Python.
  • Hands‑on experience with Apache Spark (PySpark).
  • Experience building applications on AWS/Databricks.
  • Strong understanding of software engineering fundamentals including: OOP, Design Patterns, SOLID Principles, Data Structures & Algorithms, Clean Code Practices, Unit Testing.
  • Experience working with NoSQL/Relational Databases.
  • Experience with Git and CI/CD pipelines.
  • Strong analytical, debugging, and problem‑solving skills.
  • Good understanding of scalable and reliable software development practices.

Mansioni

  • Build reusable platform components and frameworks using Python and Apache Spark.
  • Develop and maintain production‑grade data processing applications on Databricks.
  • Develop standardized platform capabilities for data ingestion, processing, observability, and governance.
  • Build APIs, libraries, and automation that improve engineering productivity.
  • Work with PostgreSQL, MongoDB, and Delta Lake to build reliable data solutions.
  • Optimize application performance, scalability, and reliability.
  • Write clean, maintainable, well‑tested production code.
  • Troubleshoot production issues and drive them to resolution.
  • Collaborate with engineers across teams to deliver high‑quality platform capabilities.

Conoscenze

Python
PySpark
AWS
Databricks
OOP
Design Patterns
SOLID Principles
Data Structures
Unit Testing
Git
CI/CD
Debugging
Problem-Solving

Strumenti

PostgreSQL
MongoDB
Delta Lake
Docker
Kubernetes

Descrizione del lavoro

Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us.

Itron Resiliency Solutions is an innovative business unit within Itron focused on solving mission critical problems for utilities through software and AI. Resiliency Solutions offers unique, market leading solutions for front‑line worker safety, storm response, excavation damage prevention, construction management, and many more. These software and AI solutions solve end‑to‑end challenges for the utilities that power our society and are used by the largest and most complex organizations in the world such as National Grid, Southern Company, and Exelon. Itron Resiliency Solutions is a global, diverse team of builders and innovators who tackle previously impossible challenges for our customers. If you have a desire to challenge yourself, solve impactful problems, and work with a passionate and talented team, this is the place.

About the Role

We are building a modern, engineering‑first Data Platform that enables product teams to build reliable, scalable, and self‑service data solutions. This role is ideal for engineers who enjoy solving platform engineering problems—not just building data pipelines. You'll build reusable platform capabilities, automate engineering workflows, and develop scalable systems that power multiple teams across the organization. If you enjoy building production‑grade software, working with cloud‑native technologies, and solving challenging engineering problems, we'd love to hear from you.

What You’ll Do
  • Build reusable platform components and frameworks using Python and Apache Spark.
  • Develop and maintain production‑grade data processing applications on Databricks.
  • Develop standardized platform capabilities for data ingestion, processing, observability, and governance.
  • Build APIs, libraries, and automation that improve engineering productivity.
  • Work with PostgreSQL, MongoDB, and Delta Lake to build reliable data solutions.
  • Optimize application performance, scalability, and reliability.
  • Write clean, maintainable, well‑tested production code.
  • Troubleshoot production issues and drive them to resolution.
  • Collaborate with engineers across teams to deliver high‑quality platform capabilities.
Required Skills
  • 2–4 years of professional software engineering experience.
  • Strong programming skills in Python.
  • Hands‑on experience with Apache Spark (PySpark).
  • Experience building applications on AWS/Databricks.
  • Strong understanding of software engineering fundamentals including: o Object‑Oriented Programming (OOP) o Design Patterns o SOLID Principles o Data Structures & Algorithms o Clean Code Practices o Unit Testing
  • Experience working with NoSQL/Relational Databases.
  • Experience with Git and CI/CD pipelines.
  • Strong analytical, debugging, and problem‑solving skills.
  • Good understanding of scalable and reliable software development practices.
Nice to Have
  • Experience building Data Platform or internal platform capabilities.
  • Experience with Delta Lake and Lakehouse architecture.
  • Exposure to Generative AI applications.
  • Experience building RAG (Retrieval‑Augmented Generation) solutions.
  • Experience with Agentic AI workflows.
  • Exposure to Docker or Kubernetes.
What We Value
  • Think beyond individual tasks and build reusable solutions.
  • Take ownership of the features and services they build.
  • Enjoy solving complex engineering problems.
  • Write clean, maintainable, production‑quality code.
  • Value automation over manual effort.
  • Continuously learn and improve engineering practices.

Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees.

If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!

The successful candidate’s starting wage will be determined based on permissible, non‑discriminatory factors such as skills and experience.

Itron is proud to be an Equal Opportunity Employer.

If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email Accessibility@itron.com.

Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com Our broad solution portfolio allows our customers to better manage energy and water for a sustainable future. Our innovative, next‑generation utility and smart‑city solutions help build resilient communities around the world. You can build your career here and do work that truly matters.

5000+ global employees

Products and solutions deployed in 100+ countries

Headquarters: Liberty Lake, Washington, USA

Publicly traded: ITRI

ESG goals and achievements

Award-winning workplace

Inclusion‑first work culture

Benefits
  • Commitment to employee growth and development: iGrow program
  • Employee resource groups*: iBelong program
  • Paid internships, co‑op and apprenticeships
  • Generous and flexible paid time off* *Variable by location or position

Hear from our Employees @ Itron Careers

Your safety and trust are important to us.

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