Data Engineering Analyst
Bangalore, Karnātaka, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, build, and maintain scalable data pipelines, integrations, and ETL/ELT workflows on Google Cloud Platform using BigQuery, Airflow, and Cloud Data Fusion.
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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- 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 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.
Qualification wording
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 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.
Tools in this posting
- Python
- Airflow
- PySpark
- SQL
- Google Cloud (GCP)
- BigQuery
Source — Tool mentions in context
- 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.
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.
- 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.
- 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
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.
- 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.
- Experience working in cross-functional or global teams. - Google Cloud certifications are a plus. What You Will Bring
- 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.
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on tranetechnologies.wd12.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, Karnātaka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 9, 2026
- Recorded sightings
- 32
- Last seen by us
- Sep 26, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.