Data Engineering Analyst

Trane Italia; Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Trane Technologies in Bengaluru, India is seeking a Data Engineering Analyst to join the ISC Data Architecture & Governance team. You will build scalable data pipelines on Google Cloud Platform, focusing on the bronze layer of a medallion architecture, and work with stakeholders to translate requirements into reliable data solutions.

The role emphasizes autonomy, strong SQL and Python skills, and experience with BigQuery, Airflow, and data lake concepts.

Qualifications

• Bachelor’s degree in a data-related field and 3+ years in data engineering or cloud data platforms.
• Hands-on experience building data pipelines in Google Cloud Platform.
• Strong SQL skills to analyze source data and validate transformations.
• Knowledge of Python and data engineering tools such as PySpark and Airflow.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform (BigQuery, Airflow, Cloud Data Fusion).
• Ingest data into the enterprise data lake focusing on bronze-layer ingestion in a medallion architecture.
• Analyze legacy systems, databases, and workflows to identify modernization opportunities.
• Document data flows and provide recommendations for process improvements and cloud modernization.
• Collaborate with stakeholders to gather requirements and translate them into scalable technical solutions.
• Work independently to resolve issues and drive high-quality data solutions with cross-functional teams.
• Apply data governance, metadata, lineage, and data quality practices to pipelines.

Skills

SQL

Python

PySpark

Education

Bachelor’s degree in Data Engineering, Data Science, Computer Science, IT or related field

Tools

BigQuery

Cloud Composer

Cloud Data Fusion

Google Cloud Platform

Airflow

Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it’s our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world’s challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what’s possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

Data Engineering Analyst

The Company

At Trane Technologies, we Challenge the Possible. Our brands — including Trane® and Thermo King® — create access to cooling and comfort in buildings and homes, transport and protect food and perishables, connect customers to elevated performance with less environmental impact, dramatically reduce energy demands and carbon emissions, and innovate with a better world in mind. We boldly challenge what’s possible for a sustainable world.

The Role

Trane Technologies is seeking a Data Engineering Analyst to join our ISC Data Architecture & Governance team based in Bangalore, India. This is a hands‑on role for a candidate who can build scalable data engineering pipelines, analyze legacy systems and workflows, and help modernize our data landscape on Google Cloud Platform.

In this role, you will be responsible for ingesting data from internal and external sources into our enterprise data lake, with a strong focus on the bronze layer of a medallion architecture. You will work closely with business stakeholders, data analysts, and technical teams to gather requirements, clarify business logic, support testing, and design practical solutions that improve reliability, usability, and scalability.

The ideal candidate combines strong technical data engineering skills with the ability to work independently, determine next steps, and communicate effectively with customers and stakeholders throughout the solution lifecycle.

This role is based in our Bangalore, India corporate office and reports directly to the Data Architecture & Governance Manager for ISC.

Key Responsibilities

• Design, build, and maintain scalable data pipelines, integrations, and ETL/ELT workflows on Google Cloud Platform using BigQuery, Airflow, and Cloud Data Fusion.
• Ingest data from internal and external sources into the enterprise data lake, with primary ownership of the bronze layer within a medallion architecture.
• Analyze legacy systems, databases, workflows, and transformation logic to understand current‑state processes, dependencies, and opportunities for modernization.
• Document current‑state data flows and system behavior and develop recommendations for process improvement, architecture simplification, and legacy‑to‑cloud modernization.
• Use strong SQL skills to analyze source data, validate transformations, understand embedded business logic, and support data analysts with trusted datasets.
• Partner with business stakeholders and internal customers to gather requirements, clarify needs, support testing, and translate business needs into scalable technical solutions.
• Work independently to identify next steps, resolve technical and process issues, and collaborate with cross‑functional teams to deliver high‑quality data solutions.
• Apply data quality, governance, documentation, and security standards while continuously improving pipeline reliability, scalability, and performance.

Qualifications

• Bachelor’s degree in Data Engineering, Data Science, Computer Science, Information Technology or a related field.
• 3+ years of experience in data engineering, cloud data platforms, data integration, or related roles.
• Hands‑on experience building data pipelines in Google Cloud Platform.
• Strong working knowledge of BigQuery, Cloud Composer, and Cloud Data Fusion.
• Strong SQL skills, including the ability to analyze legacy systems, investigate data issues, validate transformations, and support analytics users.
• Knowledge of Python and Data Engineering packages such as PySpark and Airflow.
• Experience building and maintaining ETL/ELT pipelines for structured and semi‑structured data.
• Familiarity with data lake concepts and medallion architecture, especially bronze‑layer ingestion patterns.
• Familiarity with data governance, metadata, lineage, and data quality practices.
• Strong problem‑solving, analytical, communication, and self‑management skills.
• Experience working in cross‑functional or global teams.
• Google Cloud certifications are a plus.

What You Will Bring

• A hands‑on engineering mindset with the ability to move from analysis to design to delivery.
• Strong curiosity and comfort working through ambiguity in legacy environments.
• The ability to communicate effectively with both technical teams and business stakeholders.
• A proactive, self‑directed approach to identifying priorities and driving work forward.
• A passion for building scalable, maintainable data solutions that support business value.

At Trane Technologies, we offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives. We are proud of our winning culture, which is inclusive and respectful at its core. We share a passion for serving customers, caring for others, and boldly challenging what’s possible for a sustainable world.

We are committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.