Lead Software Engineer - Data Engineer

Design, develop, deliver and maintain secure, high-quality software solutions that enhance business capabilities and modernize technology platforms
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Collaborates with business and technology partners in multiple regions and time zones to maximize value delivered
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Participate in scrum team stand-ups, code reviews and other ceremonies, contribute to task completion and blocker resolution within your team
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, equity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience with variety of Databases, BI tools, design, develop and implement robust data virtualization solutions.
• Denodo developer proficiency, VQL, performance tuning
• Ability to troubleshoot and define resource manager restrictions, query delegation, join strategies, remote tables etc.
• Should know about MPP architecture and familiarity in integrating bigdata tools and technologies.
• Formal training or certification on software engineering concepts
• Hands-on technical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages (Java Preferred)
• Experience in developing, debugging, and maintaining resilient and secure codebases in an enterprise environment with one or more modern programming languages and database querying languages
• Solid understanding of agile methodologies (such as Scrum/Kanban)
• Familiarity with Continuous Integration/Deployment practices
• Demonstrated practical experience of cloud technologies (Preferred Amazon Web Services and Kubernetes)