Cloud Data Developer / Engineer - Hybrid

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Radiant System, Inc, is seeking the following. Apply via Dice today!Experience: 7 10+ years in Data Engineering / Cloud DevelopmentProven experience designing and building scalable data pipelines (ingestion, transformation, validation) using AWS, Python, and Databricks (Spark/PySpark)Experience working with structured, semi-structured, and unstructured dataExposure to life sciences data formats such as DICOM, FASTQ/BAM/PLINK, or SAS7BDAT is strongly preferredHands-on experience with modern data platforms such as DatabricksExperience with data governance tools (e.g., Immuta) is preferredFamiliarity with analytics and statistical tools such as Tableau, R/Posit, or SAS is a plusDeep expertise in AWS data services (e.g., S3, Lambda, RDS, FSx/EFS) and cloud-native architecture best practicesStrong programming skills in Python and SQL, with experience in PySpark; working knowledge of R is a plusExperience with CI/CD and orchestration tools such as GitHub, Azure DevOps, and Apache AirflowWorking knowledge of data science and machine learning concepts (e.g., scikit-learn, TensorFlow, PyTorch)Experience with Databricks, including cluster usage and performance optimization; exposure to Unity Catalog and platform administration is a plusAWS and/or Databricks certifications are preferredExperience with Kubernetes/EKS is a plusExperience architecting technology solutions to meet business requirementsExperience managing technology projects end-to-end through planning, design, build, testing, and deployment phasesUnderstanding of Computer System Validation for GxP vs. Non-GxP technologies is preferredStrong communication skills and ability to work collaboratively with internal IT partners, business partners, and external vendors