Junior Google Cloud Platform Data Engineer

A global technology services provider, partnering with 6,000+ clients including 80% of the Fortune 500, is seeking a talented individual to drive innovation in data engineering and cloud migration.The Role Develop and support Spark-based processing pipelines in Hadoop using PySpark and Python Design and maintain real-time streaming pipelines utilizing Kafka, Spark Streaming, and Flink Migrate on-premise Hadoop data and workloads to the Google Cloud Platform (GCP) Work extensively with GCP services such as BigQuery, Cloud Composer, Data Proc, and Cloud Storage Translate business and technical requirements into robust architecture, design, and deployment deliverables Conduct integration testing, production deployments, and optimize data pipelinesWhat You'll Need 3+ years of hands-on experience in Data Engineering, including Hadoop and Google Cloud Data Solutions Experience with Google Cloud Platform Data Services: BigQuery, Cloud Storage, Data Proc, Cloud Composer 2+ years of real-time processing experience with Kafka, Flink, and Spark Streaming 3+ years of data lake experience with Python Ability to independently convert requirements into scalable technical designs and perform deployments Strong collaboration skills to work with internal teams, architects, and stakeholdersWhat's On Offer Competitive hourly compensation ranging from $38.00 - $40.00 Comprehensive benefits package including medical, dental, vision, 401(k), and paid time off Opportunity to work on large-scale data migration and modernization projects Hybrid work arrangement in the Dallas metro areaApply via Haystack today!