Aptino, Inc.
Lead GCP Data Engineer – AWS to GCP Migration
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead GCP Data Engineer focused on AWS to GCP migration, requiring 8+ years of Data Engineering experience and 4+ years in GCP. Key skills include BigQuery, ETL development, Python, and Terraform. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
June 3, 2026
🕒 - 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
Chicago, IL
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Security #SQL (Structured Query Language) #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #PySpark #Data Warehouse #Data Processing #Data Modeling #Dataflow #BigQuery #"ETL (Extract #Transform #Load)" #Monitoring #Spark SQL #Python #Data Pipeline #Scala #GCP (Google Cloud Platform) #Terraform #Cloud #Data Lake #Storage #ML (Machine Learning) #Infrastructure as Code (IaC) #Data Engineering #Migration #Batch #AI (Artificial Intelligence) #Redshift #Data Governance
Role description
GCP Data Engineer – AWS to GCP Migration
We are seeking an experienced GCP Data Engineer to lead a large-scale AWS to GCP cloud migration and data platform modernization initiative. The ideal candidate will have strong expertise in Google Cloud Platform, ETL/Data Engineering, and cloud migration strategies, with hands-on experience migrating data lakes, data warehouses, and analytics workloads from AWS to GCP.
Key Skills:
• Google Cloud Platform (BigQuery, Dataflow, Dataproc, Composer, Pub/Sub, Cloud Storage, BigLake, Cloud Functions)
• AWS to GCP Migration (S3, Redshift, Glue, EMR, Kinesis)
• ETL/ELT Development
• Python, PySpark, SQL
• Data Warehousing & Data Modeling
• Batch & Real-Time Data Processing
• CI/CD, Terraform, Infrastructure as Code
Responsibilities:
• Lead and execute AWS-to-GCP migration projects.
• Design and develop scalable data pipelines and modern data platforms.
• Build and optimize ETL/ELT solutions for large-scale data processing.
• Collaborate with architects, business stakeholders, and engineering teams to drive cloud transformation initiatives.
• Implement data governance, security, monitoring, and cost optimization best practices.
Qualifications:
• 8+ years of Data Engineering experience.
• 4+ years of hands-on GCP experience.
• Proven experience with AWS-to-GCP migration projects.
• Strong expertise in BigQuery, Dataflow, PySpark, Python, and SQL.
• Experience with enterprise-scale cloud modernization programs.
Preferred:
• Google Cloud Professional Data Engineer Certification.
• Experience with AI/ML platforms, Lakehouse architectures, and multi-cloud environments.
If you are passionate about cloud transformation, data engineering, and building modern data platforms, we'd love to connect with you!
GCP Data Engineer – AWS to GCP Migration
We are seeking an experienced GCP Data Engineer to lead a large-scale AWS to GCP cloud migration and data platform modernization initiative. The ideal candidate will have strong expertise in Google Cloud Platform, ETL/Data Engineering, and cloud migration strategies, with hands-on experience migrating data lakes, data warehouses, and analytics workloads from AWS to GCP.
Key Skills:
• Google Cloud Platform (BigQuery, Dataflow, Dataproc, Composer, Pub/Sub, Cloud Storage, BigLake, Cloud Functions)
• AWS to GCP Migration (S3, Redshift, Glue, EMR, Kinesis)
• ETL/ELT Development
• Python, PySpark, SQL
• Data Warehousing & Data Modeling
• Batch & Real-Time Data Processing
• CI/CD, Terraform, Infrastructure as Code
Responsibilities:
• Lead and execute AWS-to-GCP migration projects.
• Design and develop scalable data pipelines and modern data platforms.
• Build and optimize ETL/ELT solutions for large-scale data processing.
• Collaborate with architects, business stakeholders, and engineering teams to drive cloud transformation initiatives.
• Implement data governance, security, monitoring, and cost optimization best practices.
Qualifications:
• 8+ years of Data Engineering experience.
• 4+ years of hands-on GCP experience.
• Proven experience with AWS-to-GCP migration projects.
• Strong expertise in BigQuery, Dataflow, PySpark, Python, and SQL.
• Experience with enterprise-scale cloud modernization programs.
Preferred:
• Google Cloud Professional Data Engineer Certification.
• Experience with AI/ML platforms, Lakehouse architectures, and multi-cloud environments.
If you are passionate about cloud transformation, data engineering, and building modern data platforms, we'd love to connect with you!
