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
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Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCP
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Build and optimize data pipelines using Python
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Implement streaming solutions using Pub/Sub and Dataflow
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Develop and manage batch workflows using Cloud Composer
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Design and optimize data models and queries in BigQuery
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Work with large-scale, low-latency data stores such as Bigtable
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Ensure data quality, reliability, performance, and scalability
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Manage source code, reviews, and collaboration using GitHub
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Build and maintain CI/CD pipelines using GitHub Actions
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Collaborate with product, platform, and analytics teams in an Agile setup
Required Skills & Qualifications
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Strong hands-on experience with Google Cloud Platform (GCP)
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Proven expertise in batch and real-time data pipelines
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Strong programming experience in Python
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Hands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer
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Solid understanding of data modeling, ETL/ELT, and distributed data systems
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Proficiency with GitHub and GitHub Actions–based CI/CD
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Experience working in Agile environments
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Strong knowledge of data security and access management
Behavioral Expectations
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Strong ownership, accountability, and delivery focus
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Self-driven and proactive problem solver
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Excellent team player with strong collaboration skills
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Clear and effective communicator
Nice to Have
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Experience with data governance, lineage, and observability tools
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Exposure to large-scale analytics or enterprise data platforms
