Job Description
We are looking for a GCP Data Engineer with strong expertise in Python and PySpark to join our team. The ideal candidate will have hands-on experience in building scalable ETL/ELT pipelines, processing large datasets, and working with Google Cloud Platform (GCP) services. The candidate should possess excellent communication skills and be available to join immediately .
Mandatory Skills
Google Cloud Platform (GCP)
Python
PySpark
ETL/ELT Pipeline Development
BigQuery
Google Cloud Storage (GCS)
SQL
Data Engineering concepts

Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines on GCP.
Develop data processing solutions using Python and PySpark .
Build and optimize data pipelines using BigQuery , GCS , and other GCP services.
Write productive SQL queries for data extraction, transformation, and analysis.
Process structured and semi-structured data from multiple sources.
Monitor, troubleshoot, and optimize data pipelines for performance and reliability.




Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
Ensure data quality, security, and governance across data platforms.
Support deployment, automation, and operational activities within GCP environments.

Required Experience
4+ years of experience in Data Engineering.
Hands-on experience with Google Cloud Platform (GCP) .
Robust programming experience in Python and PySpark .
Experience working with BigQuery , Google Cloud Storage (GCS) , and SQL.
Valuable understanding of data warehousing and ETL concepts.
Experience in performance tuning and optimization of data pipelines.

Preferred Skills
Experience with Dataproc, Airflow, Pub/Sub, or Cloud Composer.
Knowledge of Spark SQL and DataFrames.
Familiarity with CI/CD and version control tools.
Experience working in Agile environments.

📌 Gcp Data Engineer Gurugram (India)
🏢 Diverse Lynx India Private
📍 India