Data Engineer

No 3rd Party Candidates or Candidates that need Sponsorship or 3rd Parties!General Responsibilities:Design, build and maintain data architectures, integrations and pipelines that align with business and technical requirements.Develop reliable data sets, data models and curated data layers to support analytics, reporting, dashboard and business intelligence solutions.Partner with the analytics team and business stakeholders to design and deliver curated datasets that enable reporting, data visualizations, self-service analytics and data-driven decision-making.Identify opportunities to improve data reliability, efficiency, scalability and overall data quality.Builds and supports API integrations to handle increasing data volume, system complexity and business demand.Engineer scalable data pipelines and curated data layers that integrate, transform, and standardize complex data from disparate source systems to meet business, analytical and technical requirements.Implement data quality monitoring, validation, and control processes to ensure production data is accurate, complete, timely, and reliable for business users, reporting, analytics and downstream processes.Perform data analysis to troubleshoot data related issues, identify root causes and assist with issue resolution.Required Qualifications:Bachelor’s degree in Computer Science, Information Systems, Analytics or related fields is required.Minimum 5+ years’ experience in a Data Engineering role.Strong experience with enterprise relational database platforms. Oracle highly preferred.Advanced proficiency in SQL, PL/SQL, and Python; exposure to modern data engineering tools and distributed processing frameworks such as Spark.