We are seeking a Senior GCP Data Engineer with 4-8 Years experience to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP). /n 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. /n Key Responsibilities /n /n

- 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





/n /n Required Skills & Qualifications /n /n

- 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

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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

/n /n /n Primary Skills : GCP. Bigdata, PySpark, GCP, Bigquery, Composer, Python /n Seondary Skills : SQL, Spark/Python, /n Positive to Have : Gen AI

📌 GCP Data Engineer (Bengaluru)
🏢 Impetus
📍 Bengaluru