Big Data Developer / Data Engineer
Job Summary
We are seeking a highly skilled

Big Data Developer / Data Engineer

with strong expertise in

Spark, PySpark, DataProc, and Airflow

to design, build, and optimize scalable data processing pipelines on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience with big data technologies, cloud-native architectures, and distributed data processing frameworks.
Key Responsibilities
Design, develop, and maintain scalable big data solutions using

Spark

and

PySpark .
Build and optimize ETL/ELT pipelines for large-scale data processing.
Work with

Google Cloud Platform (GCP)

services including

DataProc, BigQuery, Cloud Storage, Compute Engine, and Cloud Functions .
Develop workflow orchestration pipelines using

Apache Airflow .
Create and optimize complex SQL queries for data transformation and analytics.