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) .The ideal candidate has robust foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a collaborative team player in Agile environments.Key ResponsibilitiesDesign, develop, and maintain batch and real-time ETL/ELT pipelines on GCPBuild and optimize data pipelines using PythonImplement streaming solutions using Pub/Sub and DataflowDevelop and manage batch workflows using Cloud ComposerDesign and optimize data models and queries in BigQueryWork with large-scale, low-latency data stores such as BigtableEnsure data quality, reliability, performance, and scalabilityManage source code, reviews, and collaboration using GitHubBuild and maintain CI/CD pipelines using GitHub ActionsCollaborate with product, platform,



and analytics teams in an Agile setupRequired Skills & QualificationsStrong hands-on experience with Google Cloud Platform (GCP)Proven expertise in batch and real-time data pipelinesStrong programming experience in PythonHands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud ComposerSolid understanding of data modeling, ETL/ELT, and distributed data systemsProficiency with GitHub and GitHub Actions–based CI/CDExperience working in Agile environmentsStrong knowledge of data security and access managementNice to HaveExperience with data governance, lineage, and observability toolsExposure to large-scale analytics or enterprise data platformsPrimary Skills : GCP. Bigdata, PySpark, GCP, Bigquery, Composer, PythonSeondary Skills : SQL, Spark/Python,Good to Have : Gen AI

📌 GCP Data Engineer (Faridabad)
🏢 Impetus
📍 Faridabad