Data Engineer

Required Skills & Experience • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. • 3–6 years of professional experience in data engineering, ETL development, or similar role. • Demonstrated experience with cloud-based data platforms (Oracle, Fabric, Databricks, Synapse, or equivalent). • Strong proficiency in SQL and Python (PySpark or Scala a plus). • Solid understanding of data modeling principles & performance optimization • Familiarity with orchestration tools (Azure Data Factory, Fabric Pipelines, or large-scale data handling) Job Description The client is building out internal data capabilities to support a cloud-based solution developed during a recent transformation initiative. The Data Engineer will be responsible for ingesting, transforming, and mapping data across multiple systems, ensuring seamless integration between backend Oracle environments and frontend reporting platforms. • Design, develop, and maintain ETL/ELT pipelines for internal and external data sources using Azure and related platforms. • Implement orchestration, scheduling, and monitoring for high-availability data flows. • Ensure data quality through validation, testing, logging, and automated monitoring. • Optimize storage, partitioning, and compute performance in Fabric Lakehouse and associated environments. • Collaborate with the Data Architect to align implementation with enterprise data models, governance, and standards. • Partner with Analysts to deliver curated, trusted, and performant datasets for business intelligence and advanced analytics. • Apply CI/CD practices for data workflows, including version control and automated deployment. • Maintain documentation of data flows, schemas, and processes, and support team knowledge sharing. • Perform other job-related duties as assigned, within scope of responsibilities.