Job Information
Qorvo US, Inc. Senior Systems Data Engineer (7672) in Greensboro, North Carolina
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 Qorvos 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
8+ 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 levels of the organization and cope with rapidly changing information
Power BI/Tableau/QuickSight experience preferred
Nice to have: experience with SAP ECC or S/4, AWS Redshift
Responsibilities
Establish and grow a data engineering framework to ensure the reliability, scalability, quality, and efficiency of data pipelines, storage, processing, and integration
Establish data pipelines to ingest and curate data containing SAP business content from S/4 to Databricks
Improve, maintain and execute the data strategy at Qorv including governance, project prioritization, resourcing, and value delivery
Follow the Medalion Architecture (Bronze, Silver, Gold) to logically organize data in a lakehouse, with the goal of incrementally and progressively improving the structure and quality of data as it flows
Work effectively in an Agile Scrum environment
Create technical, functional, and operational documentation for data pipelines and applications
Use business requirements to drive the design of data solutions/applications and technical architecture
Provide overall project management and administration activities for the data engineering organization
Work with other developers, designers, and architects to ensure data applications meet requirements and performance, data security, and analytics goals
Anticipate, identify, track, and resolve issues and risks affecting delivery
Lead the configuration, build, and testing of data applications and technical architecture
Coordinate and participate in structured peer review/ walkthroughs/code reviews
Provide application/technical support
Maintain and/or update technical and/or industry knowledge and skills through continuous learning activities
Mentor and develop junior engineers
Adhere to lean principles and standard processes to ensure continuous improvement
Communicate clearly and effectively
Soft Skills
Team Player
Excellent communication skills
Collaboration
Logical thinking
Time Management
MAKE A DIFFERENCE AT QORVO
We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.
We are an Equal Employment Opportunity (EEO) / Affirmative Action employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, military or veteran status, physical or mental disability, genetic information, and/or any other status protected by law.