Data Engineer

Job Description – Senior Data Engineer (GCP)

Role Overview We are looking for a

Senior Data Engineer with 4+ years

of experience in building scalable

data pipelines

and strong hands-on expertise in

Google Cloud Platform (GCP ). The ideal candidate will work closely with

data science, analytics, and business teams

to design, build, and optimize reliable data solutions.

Key Responsibilities Design, develop, and maintain scalable

ETL/ELT data pipelines

on GCP. Build and optimize

BigQuery datasets, views , partitioned and clustered tables. Develop batch and near-real-time pipelines using

Dataflow / Apache Beam Ingest data from multiple sources

(APIs, databases, files, streaming systems) Implement data quality checks, validation, and monitoring Optimize

query performance and control GCP

cost usage Work with

Cloud Storage, Pub/Sub, Composer (Airflow)

for orchestration Collaborate with Data Scientists & Analysts to support ML and BI use cases Ensure

security, IAM, and governance best practices Support production deployments, monitoring and troubleshooting Participate in data architecture and design discussions, proposing best practices and improvements Optimize performance, reliability, and cost of data solutions Implement data quality checks, validation, and reconciliation logic in Python

Programming Languages SQL Python PySpark