We are seeking a Senior GCP Data Engineer 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

Behavioral Expectations

Strong ownership, accountability, and delivery focus
Self-driven and proactive problem solver
Excellent team player with strong collaboration skills
Clear and effective communicator

Nice to Have

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

Spark, GCP, Bigquery, Composer, Python

Primary Skills : GCP. Bigdata

Seondary Skills : SQL, Spark/Python,

Good to Have : Gen AI