We are hiring a GCP Senior Data Engineer

Experience: 7+

Mode:Hybrid

Location: Bangalore

Notice Period: Immediate to 15 Days

Core Responsibilities

1. Data Engineering & Cloud Development (Core Responsibilities)

• Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).
- Develop endtoend data pipelines to support ingestion, transformation, and storage.
- Build ELT/ETL workflows, database objects, and cloudnative data orchestration solutions.
- Optimize pipelines for performance, scalability, cost efficiency, and reliability.
- Ensure robust monitoring, alerting, and data quality assurance across distributed systems.
- Implement secure data architectures following Trane Technologies’ standards.

2. Collaboration & Analytics Enablement

- Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.
- Support analytical use cases, data modelling, and enable selfservice data consumption.
- Partner across global teams, including business stakeholders, product owners, and data governance.

3. DevOps / Platform Engineering Partnership

- Partner with DevOps and platform engineering teams to ensure data infrastructure is secure,

reliable, and highly available.
- Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloudbased deployments.
- Collaborate on environments, pipelines, and promote code through dev → test → prod.

4. Engineering Excellence & Ways of Working

- Participate in code reviews and maintain global coding standards.
- Follow structured engineering methods, documentation practices, and release processes.
- Contribute effectively in distributed, agile development teams across multiple time zones.




- Communicate clearly with both technical and nontechnical stakeholders.
- Research, evaluate, and propose new tools, technologies, and design patterns.
- Stay current with cloud, data engineering, and analytics trends relevant to enterprisescale environments.
- Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

Qualifications

Education Requirements

- Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering,

Software Engineering, or a related technical field.

Experience Requirements

- 7+ years of total experience in data engineering, data platforms, or datacentric software engineering.
- 5+ years of handson experience designing and building data pipelines, ETL/ELT workflows, and cloudnative data solutions.
- 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery,

Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.
- Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.
- Proven experience developing and supporting productiongrade, endtoend cloud data pipelines.
- Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.
- Solid background in monitoring, logging, alerting, and data quality frameworks across distributed systems.
- Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.
- Demonstrated experience working in global, crossfunctional, and agile development environments.
- Excellent communication, problemsolving, and analytical skills with the ability to collaborate across technical and nontechnical teams.
- GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

📌 GCP Senior Data Engineer (Bengaluru)
🏢 Teamware Solutions
📍 Bengaluru