Job Description
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) .
nThe ideal candidate has solid foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environments.
nKey Responsibilities
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- Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCPn
- Build and optimize data pipelines using Pythonn
- Implement streaming solutions using Pub/Sub and Dataflown
- Develop and manage batch workflows using Cloud Composern
- Design and optimize data models and queries in BigQueryn
- Work with large-scale, low-latency data stores such as Bigtablen
- Ensure data quality, reliability, performance, and scalabilityn
- Manage source code, reviews, and collaboration using GitHubn
- Build and maintain CI/CD pipelines using GitHub Actionsn
- Collaborate with product, platform, and analytics teams in an Agile setupn





nRequired Skills & Qualifications
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- Strong hands-on experience with Google Cloud Platform (GCP)n
- Proven expertise in batch and real-time data pipelinesn
- Strong programming experience in Pythonn
- Hands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composern
- Solid understanding of data modeling, ETL/ELT, and distributed data systemsn
- Proficiency with GitHub and GitHub Actions–based CI/CDn
- Experience working in Agile environmentsn
- Strong knowledge of data security and access managementn

nNice to Have
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- Experience with data governance, lineage, and observability toolsn
- Exposure to large-scale analytics or enterprise data platformsn

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nPrimary Skills : GCP. Bigdata, PySpark, GCP, Bigquery, Composer, Python
nSeondary Skills : SQL, Spark/Python,
nGood to Have : Gen AI

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