Arkhya Tech. Inc.
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Paramus, NJ, with a 6-month contract-to-hire. Requires 5+ years of experience, strong SQL and Python skills, and expertise in Google Cloud Platform tools like BigQuery and Dataflow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Paramus, NJ
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🧠 - Skills detailed
#Data Pipeline #Database Design #BigQuery #Monitoring #Dataflow #Data Modeling #Logging #Airflow #Scala #Storage #Data Engineering #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Data Governance #"ETL (Extract #Transform #Load)" #Python #Cloud
Role description
GCP Data Engineer
Paramus, NJ - Onsite role
6 months CTH
Detailed JD:
Designs, builds, and optimizes secure, scalable, and high-performance data pipelines and analytics solutions using Google Cloud Platform tools like BigQuery, Dataflow, Dataproc, Composer, GCS, Cloud function, Cloud run and Pub/Sub. This role requires 5+ years of experience, expertise in Python/SQL, and implementing data governance and CI/CD pipelines.
Required Technical Skills
Languages: Strong SQL and Python proficiency.
Platforms: Deep expertise in Google Cloud Platform (GCP).
Tools: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Dataproc, Cloud sql, Cloud run, Cloud function, logging and monitoring
Data Modeling: Database design, ETL/ELT workflows.
GCP Data Engineer
Paramus, NJ - Onsite role
6 months CTH
Detailed JD:
Designs, builds, and optimizes secure, scalable, and high-performance data pipelines and analytics solutions using Google Cloud Platform tools like BigQuery, Dataflow, Dataproc, Composer, GCS, Cloud function, Cloud run and Pub/Sub. This role requires 5+ years of experience, expertise in Python/SQL, and implementing data governance and CI/CD pipelines.
Required Technical Skills
Languages: Strong SQL and Python proficiency.
Platforms: Deep expertise in Google Cloud Platform (GCP).
Tools: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Dataproc, Cloud sql, Cloud run, Cloud function, logging and monitoring
Data Modeling: Database design, ETL/ELT workflows.
