Demo

GCP Big Data Engineer

UNICOM Technologies Inc
Pennsylvania, PA Contractor
POSTED ON 9/30/2025
AVAILABLE BEFORE 1/28/2026

Position: GCP Big Data Engineer

Location: Philadelphia, PA(Onsite)

Exp : 8

Client: UMG

Rate: $62 on W2 and $70 on C2C 

 

Net 60 days payment terms

 

Job Description:

We are seeking a highly skilled Senior GCP Big Data Engineer to join our team and work on cutting-edge data solutions for our client, UMG. The ideal candidate will have extensive experience in designing, building, and optimizing large-scale data pipelines on Google Cloud Platform (GCP) using PySpark, Apache Beam, Dataflow, and BigQuery. You will play a key role in processing and analyzing massive datasets to drive business insights.

 

Key Responsibilities:

  • Design, develop, and optimize scalable Big Data pipelines using GCP services (Dataflow, BigQuery, Pub/Sub, Cloud Storage).
  • Implement real-time and batch data processing using Apache Beam, Spark, and PySpark.
  • Work with Kafka for event streaming and data integration.
  • Orchestrate workflows using Airflow for scheduling and monitoring data pipelines.
  • Write efficient Java/Python code for data processing and transformation.
  • Optimize BigQuery performance, including partitioning, clustering, and query tuning.
  • Collaborate with data scientists and analysts to enable advanced analytics and machine learning pipelines.
  • Ensure data reliability, quality, and governance across pipelines.
  • Leverage Google Analytics and GFO (Google for Organizations) where applicable.

 

Required Skills & Experience:

  • 8 years of hands-on experience in Big Data engineering.
  • Strong expertise in GCP (Google Cloud Platform) – Dataflow, BigQuery, Pub/Sub, Cloud Storage.
  • Proficiency in PySpark, Spark, and Java/Scala for Big Data processing.
  • Experience with Apache Beam for unified batch/streaming pipelines.
  • Solid understanding of Kafka for real-time data streaming.
  • Hands-on experience with Airflow for workflow orchestration.
  • Strong SQL skills and optimization techniques in BigQuery.
  • Experience with distributed computing and performance tuning.

 

Good to Have:

  • Knowledge of GFO (Google for Organizations).
  • Familiarity with Google Analytics for data integration.
  • Experience with DataProc, Cloud Composer, or Dataprep.
  • Understanding of CI/CD pipelines for Big Data applications.

Salary : $62 - $70

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