1371 Software Qa Engineer I jobs in Charlotte,NC

BS/BA degree in computer science, MIS, analytics, engineering or similar
7+ years of experience in technical roles
3+ years in team lead or management role of a technical team
Knowledge of distributed computing or relational data systems such as Oracle or similar
Advanced SQL skills and knowledge of Python
Experienced with Cloud environments, preferably Google Cloud Platform and AWS
Knowledge of Git or other version control tools and a commitment to collaboration and code sharing
Knowledge of ETL design for efficient data movement
Data can change the world! Trane Technologies seeks an experienced Data Manager to lead a diverse group of data engineers and analysts supporting data science, advanced analytics and self-service teams. In this role, you will bring an innovative approach to data, as we look to accelerate our data and analytics capabilities. As a player/coach, you will provide technical thought leadership to the team and have hands-on-keyboard when needed.
Lead a technical team to provide easily accessible data in the Google Cloud Platform based Trane Data Cloud (TDC) to the team and broader business.
Experience with Looker, semantic layers and enterprise data models to guide the team as we move towards the new technical approach
Bring cloud experience and innovative thinking to data pipeline development, data mart creation, and self-service analytics support.
Partner with enterprise IT to ensure alignment with overall approach to data architecture and to get approvals for production.
Proactively engage with business leaders to prioritize and oversee data product development from requirements gathering through deployment in production.
Identify, assess and bring in new data sources to support self-service and advanced analytics work.
Support data quality improvement efforts.
Work directly with the advanced analytics/visualization and decision science team members on data structure to support and enhance sophisticated Tableau dashboards and machine learning or AI models.
Able to develop an expertise in Residential data. Understand source systems, and Residential specific attributes required by the business for meaningful analysis.
Develop metrics to track improvements and proactively identify new issues.
Coach and mentor team members to grow technical and professional skills.