GCP Data Engineer

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 BigQuery

- 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 GitHub

- Build and maintain CI/CD pipelines using GitHub 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 BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer

- Solid understanding of data modeling, ETL/ELT, and distributed data systems

- Proficiency with GitHub and GitHub 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,

Good to Have : Gen AI