Randstad Digital is hiring and we're looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit Randstad. USA.com to view and apply. location: Phoenix, Arizona job type: Contract to Perm salary: $56.71 - 69.53 per hour work hours: 8 am to 5 pm education: Bachelors[ "Pipeline Modernization: Lead the translation and migration of complex enterprise data graphs from Ab Initio (Co. Python, SQL, and Cloud Composer (Apache Airflow). Big. Query Architecture: Design and build optimized, highly secure data warehouses and semantic layers within Google Big. Query. Implement strict partitioning, clustering, and slot management strategies to ensure low-latency performance and cost optimization. Framework Development: Build reusable, config-driven ingestion and transformation libraries (using Python and Dataflow/ Dataproc) to minimize "one-off" pipelines and accelerate enterprise-wide cloud onboarding. Data Governance & Risk Mitigation: Enforce data quality rules, automated reconciliation metrics, and robust end-to-end lineage mapping using GCP Dataplex and Data Catalog to adhere to strict enterprise risk and compliance frameworks. Automation & Gen. AI Adoption: Evaluate and utilize modern automation and Gen. AI-assisted tooling to accelerate schema mapping, legacy code translation (e.g., Ab Initio/ SQL to Python/ Beam), and test case generation. Agile Collaboration: Partner closely with Data Governance, Security, Infrastructure, and downstream Analytics teams in an Agile/ Scrum environment to deliver production-ready code via CI/ CD pipelines (Git, Cloud Build)." ][ "4 years of Data Engineering experience or equivalent.\r\n\r\n 3 years of hands-on experience building, debugging, and maintaining enterprise-scale data pipelines using Ab Initio (and/or parallel architectures like Spark/ Informatica) alongside Unix Shell Scripting and Autosys.\r\n\r\n 2 years of direct experience deploying production data workloads on Google Cloud Platform, specifically utilizing Big. Query, Cloud Storage (GCS), and Cloud Composer/ Airflow.\r\n\r\n. Advanced expertise in writing and tuning highly complex SQL queries and designing robust data models (Dimensional, Data Vault, or Star Schemas)." ]