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 enablementWhat 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 deploymentsWhat'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 packageApply via Haystack today!