Ensure all products meet established quality standards by inspecting incoming materials, verifying in‑process production, and auditing finished goods. Generate and provide Certificates of Compliance. Maintain QMS databases with up‑to‑date information on corrective actions (CARs), MRB decisions, Quality Alerts, and customer complaints (CCRs). Oversee document control processes and ensure compliance with QMS requirements. Serve as an internal auditor to verify that documented procedures meet QMS standards. Support delivery of high‑quality products to customers and uphold company standards. Maintain training documentation for the site and assist with training/quality orientation for new employees. <br> <br> Key Responsibilities Quality Documentation & Compliance Generate Certificates of Compliance weekly for assigned customers and provide Mil Certs, test reports, and notarized documents upon request. Maintain accurate document control processes in alignment with QMS requirements. Conduct internal audits to ensure procedures and processes comply with QMS standards. Inspection & Testing Perform complex inspections and set quality standards for in‑process production; communicate necessary adjustments to Production Supervisors. Inspect and test incoming raw materials, rejecting and returning non‑conforming goods. Audit finished products by confirming specifications, completing visual and measurement tests, and determining rework requirements. Quality Reporting & Data Management Document inspection results in reports, logs, and discrepancy material reports. Summarize rework, scrap, and waste, and enter all findings into the quality database. Ensure QMS databases remain accurate and current. Continuous Improvement & Safety Apply problem‑solving methods on assigned projects to reduce defects, improve customer satisfaction, decrease costs, and enhance cycle times. Maintain a safe, compliant work environment by following procedures and legal regulations. Training & Support Maintain all training documentation for the site. Support training initiatives and quality orientation for new employees.
<p><strong>Data Pipeline Development</strong></p><ul><li>Design, build, and optimize scalable ETL/ELT pipelines to support analytics and operational workflows.</li><li>Ingest structured, semi-structured, and unstructured data from multiple internal and external sources.</li><li>Automate and orchestrate data workflows using tools like Airflow, Azure Data Factory, AWS Glue, or similar.</li></ul><p><strong>Data Architecture & Modeling</strong></p><ul><li>Develop and maintain data models, data marts, and data warehouses (relational, dimensional, and/or cloud-native).</li><li>Implement best practices for data partitioning, performance optimization, and storage management.</li><li>Work with BI developers, data scientists, and analysts to ensure datasets are structured to meet business needs.</li></ul><p><strong>Cloud Engineering & Storage</strong></p><ul><li>Build and maintain cloud data environments (Azure, AWS, GCP), including storage, compute, and security components.</li><li>Deploy and manage scalable data systems such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.</li><li>Optimize cloud data cost, performance, and governance.</li></ul><p><strong>Data Quality & Reliability</strong></p><ul><li>Implement data validation, error handling, and monitoring to ensure accuracy, completeness, and reliability.</li><li>Troubleshoot pipeline failures, performance issues, and data discrepancies.</li><li>Maintain documentation and data lineage for transparency and auditability.</li></ul><p><strong>Collaboration & Cross‑Functional Support</strong></p><ul><li>Partner with product, engineering, and analytics teams to translate business requirements into technical solutions.</li><li>Support self-service analytics initiatives by preparing high-quality datasets and data products.</li><li>Provide technical guidance on data best practices and engineering standards.</li></ul><p><br></p><p><br></p>
