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 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 Big Query 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 Git Hub Build and maintain CI/CD pipelines using Git Hub 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 Hands-on experience with Big Query, Bigtable, Pub/Sub, Dataflow, and Cloud Composer Solid understanding of data modeling, ETL/ELT, and distributed data systems Proficiency with Git Hub and Git Hub Actions–based CI/CD Experience working in Agile environments Strong knowledge of data security and access management Nice to Have Experience with data governance, lineage, and observability tools Exposure to large-scale analytics or enterprise data platforms
Primary Skills :
GCP. Bigdata, PySpark, GCP, Bigquery, Composer, Python Seondary Skills
: SQL, Spark/Python, Valuable to Have :
Gen AI

📌 GCP Data Engineer (India)
🏢 Impetus
📍 India