Systems Data Engineer

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves diverse high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our diverse and innovative team is helping connect, protect and power our planet.

 

Summary

As a Senior Systems Data Engineer, you will be part of the EBS Reporting Team under Qorvo’s IT Enterprise Business Applications organization. Your primary focus will be on leading and overseeing the design, development, and management of the data infrastructure on the Databricks platform within an AWS government cloud. You will manage key client technical projects and workstreams, coordinating the work of more junior engineers, and often working alongside them. You will also partner closely with business analysts and project managers to complete projects on time, within budget and scope, and with high customer satisfaction.  This position can be based in Greensboro, NC, Richardson, TX, or Hillsboro, OR.

 

Qualifications

• B.S. in Computer Science/Engineering or relevant field; Masters degree preferred
• 5+ years of experience in the IT industry
• 5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions
• Government Cloud experience
• Expert understanding of data warehousing concepts (Dimensional (star-schema), SCD2, Data Vault, Denormalized) implementing highly performant data ingestion pipelines from multiple sources
• Expert level skills with Python / PySpark and SQL
• Demonstrable experience in developing and nurturing a Data Engineering framework to include package/dependency management tools, functional testing (e.g., Pytest, Pytest-Cov, PyLint), and load testing
• Experience with CI/CD on Databricks using tools such as Unity Catalog, Jenkins, GitHub Actions, and Databricks CLI
• Integrating the end-to-end Databricks pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
• Strong understanding of Data Management principles (quality, governance, security, privacy, life cycle management, cataloging)
• Evaluating the performance and applicability of multiple tools against customer requirements
• Working within an Agile delivery/DevOps methodology to deliver proof of concept and production implementation in iterative sprints
• Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT)
• Hands on experience developing batch and streaming data pipelines
• Able to work independently
• Energetic and self-motivated, willingness to learn and openness to change are important
• Ability to work in a fast-paced, changing environment, and with all l