TekValue IT Solutions
GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, SQL, and GCP tools. Experience in data architecture and ETL processes is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 12, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Logging #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Batch #Compliance #Data Ingestion #Data Engineering #BigQuery #Java #Programming #Monitoring #Data Management #Storage #Terraform #GCP (Google Cloud Platform) #Dataflow #Metadata #Data Science #Data Quality #Data Pipeline #Cloud #Data Architecture #Scala #API (Application Programming Interface) #Python #Leadership #Infrastructure as Code (IaC)
Role description
• Lead the design and implementation of data ingestion, transformation, and processing pipelines.
• Develop and operate scalable distributed data systems using GCP tools such as BigQuery, DataFusion, Dataflow, DataProc, BigQuery, Cloud Spanner, Cloud SQL, Pub/Sub, and Cloud Storage.
• Strong programming skills in languages such as Python, Java, Scala, and proficiency with SQL.
• Build solutions to support batch and streaming data workflows, including API interfaces.
• Guide and mentor data engineers, establish best practices, and ensure high-quality code and system performance.
• Enable data quality, governance, and compliance with industry standards.
• Troubleshoot and optimize data pipelines and infrastructure for performance and reliability.
• Collaborate with data scientists, analysts, and business teams to understand and fulfill their data needs.
• Implement logging, monitoring, and alerting for data jobs and infrastructure.
• Drive the adoption of Infrastructure as Code (IaC) practices using tools like Terraform.
• Solid understanding of data architecture, ETL/ELT processes, data warehousing, and metadata management.
• Strong problem-solving, communication, and team leadership skills.
• Lead the design and implementation of data ingestion, transformation, and processing pipelines.
• Develop and operate scalable distributed data systems using GCP tools such as BigQuery, DataFusion, Dataflow, DataProc, BigQuery, Cloud Spanner, Cloud SQL, Pub/Sub, and Cloud Storage.
• Strong programming skills in languages such as Python, Java, Scala, and proficiency with SQL.
• Build solutions to support batch and streaming data workflows, including API interfaces.
• Guide and mentor data engineers, establish best practices, and ensure high-quality code and system performance.
• Enable data quality, governance, and compliance with industry standards.
• Troubleshoot and optimize data pipelines and infrastructure for performance and reliability.
• Collaborate with data scientists, analysts, and business teams to understand and fulfill their data needs.
• Implement logging, monitoring, and alerting for data jobs and infrastructure.
• Drive the adoption of Infrastructure as Code (IaC) practices using tools like Terraform.
• Solid understanding of data architecture, ETL/ELT processes, data warehousing, and metadata management.
• Strong problem-solving, communication, and team leadership skills.
