GCP Data Engineer – Call Center Platforms (e.g., Genesys, Avaya, NICE) Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer specializing in Call Center Platforms, offering a 12-month remote contract. Requires 10+ years in data engineering, GCP expertise, and familiarity with call center metrics. Preferred: GCP certification and data visualization experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 31, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#BigQuery #Cloud #Data Privacy #Looker #Data Engineering #Compliance #GDPR (General Data Protection Regulation) #IAM (Identity and Access Management) #Microsoft Power BI #GCP (Google Cloud Platform) #Dataflow #CRM (Customer Relationship Management) #Tableau #Storage #Visualization #BI (Business Intelligence) #AI (Artificial Intelligence)
Role description
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Position: GCP Data Engineer – Call Center Platforms (e.g., Genesys, Avaya, NICE) experience
Location: Remote
Duration: 12 Months Contract
USC/GC/TN Permit/ Refugee/Asylee who are willing to work on W2 can apply for this job
Job Description
• 10+ years of experience in data engineering, with at least 3 years in a lead role.
• Strong hands-on experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, and IAM.
• Familiarity with call center data, systems and KPIs such as AHT, FCR, CSAT, and agent performance metrics.
• Integrate data from multiple sources including call center platforms (e.g., Genesys, Avaya, NICE), CRM systems, and customer feedback tools.
• Excellent communication and stakeholder management skills.
Preferred qualifications:
• GCP Professional Data Engineer Certification.
• Experience with Looker, Tableau, or Power BI for data visualization.
• Experience with Google CCAI (Contact Center AI) and Customer Effort Score (CES) analytics.
• Background in telecom or customer service analytics projects.
• Knowledge of data privacy and compliance standards (e.g., GDPR, CCPA).
