Job DescriptionWe 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 strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a team-oriented team player in Agile environments.

NKey Responsibilities

n

N
- Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCP
N
- Build and optimize datapipelines using Python
N
- Implement streaming solutions using Pub/Sub and Dataflow
N
- Develop and manage batch workflows using Cloud Composer
N
- Design and optimize data models and queries in BigQuery
N
- Work with large-scale, low-latency data stores such as Bigtable
N
- Ensure data quality, reliability, performance, and scalability
N
- Manage source code, reviews, and collaboration using GitHub
N
- Build and maintain CI/CD pipelines using GitHub Actions
N
- Collaborate with product, platform, and analytics teams in an Agile setup




N

nRequired Skills & Qualifications

N

n
- Strong hands-on experience with Google Cloud Platform (GCP)
N
- Proven expertise in batch and real-time data pipelines
N
- Strong programming experience in Python
N
- Hands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer
N
- Solid understanding of data modeling, ETL/ELT, and distributed data systems
N
- Proficiency with GitHuband GitHub Actions–based CI/CD
N
- Experience working in Agile environments
N
- Strong knowledge of data security and access management
N

nNice to Have

n

N
- Experience with data governance, lineage, and observability tools
N
- Exposure to large-scaleanalytics or enterprise data platforms
N

nPrimary Skills: GCP. Bigdata, PySpark, GCP, Bigquery, Composer, Python

NSeondary Skills: SQL, Spark/Python,

NGood to Have: Gen AI

📌 Gcp Data Engineer (Bengaluru)
🏢 Impetus
📍 Bengaluru