Mid-Level Google Cloud Platform Data Engineer

This rapidly growing global leader in technology services and talent solutions, with a strong presence across North America, Europe, and Asia, is seeking a talented individual to join their team. They partner with clients to activate ideas and solutions, driving business transformation for a diverse portfolio of over 6,000 clients, including many Fortune 500 companies.

The Role

• Develop and maintain data pipelines using Spark, PySpark, Python, and Kafka
• Design and implement real-time streaming solutions with Spark Streaming and Flink
• Migrate on-prem data and workloads to Google Cloud Platform (GCP)
• Work extensively with GCP services such as BigQuery, Cloud Composer, Data Proc, and Cloud Storage
• Translate technical requirements into architecture, design, and deployment deliverables
• Collaborate with internal teams, architects, and stakeholders to support platform enablement
  
  

What You'll Need

• 3 years of experience in Data Engineering, including hands-on experience with Hadoop and Google Cloud Data Solutions
• Proficiency with GCP Data Services: BigQuery, Cloud Storage, Data Proc, Cloud Composer
• Experience with migrating data from on-prem environments to GCP
• 2 years of real-time processing experience using Kafka, Flink, and Spark Streaming
• 3 years of experience with data lakes and Python development
• Ability to convert requirements into scalable technical designs and perform production deployments
  
  

What's On Offer

• Opportunity to work on a large-scale migration project to GCP
• Exposure to cutting-edge data engineering technologies
• A collaborative team setting focused on innovation and modernization
• Competitive hourly compensation package
  
  

Apply via Haystack today!