Experience

7+ years in data engineering with strong GCP expertise

Role Summary

We are seeking a Senior GCP Data Engineer to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP). The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environments.

Key Responsibilities

- Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCP
- Build and optimize data pipelines using Python
- Implement streaming solutions using Pub/Sub and Dataflow
- Develop and manage batch workflows using Cloud Composer
- Design and optimize data models and queries in BigQuery
- Work with large-scale, low-latency data stores such as Bigtable
- Ensure data quality, reliability, performance, and scalability
- Manage source code, reviews, and collaboration using GitHub
- Build and maintain CI/CD pipelines using GitHub Actions
- Collaborate with product, platform, and analytics teams in an Agile setup





Required Skills & Qualifications

- Strong hands-on experience with Google Cloud Platform (GCP)
- Proven expertise in batch and real-time data pipelines
- Strong programming experience in Python, PySpark
- Hands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer
- Solid understanding of data modeling, ETL/ELT, and distributed data systems
- Proficiency with GitHub and GitHub Actions–based CI/CD
- Experience working in Agile environments
- Robust knowledge of data security and access management

Behavioral Expectations

- Strong ownership, accountability, and delivery focus
- Self-driven and proactive problem solver
- Excellent team player with strong collaboration skills
- Clear and effective communicator

Nice to Have

- Experience with data governance, lineage, and observability tools
- Exposure to large-scale analytics or enterprise data platforms

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