
Data Engineering Strategist
11 hours ago
We are seeking a visionary Technical Lead to spearhead our efforts in data engineering and AI consulting. This is an excellent opportunity for a seasoned professional to drive innovation, collaboration, and growth.
About the RoleThe Technical Lead will be responsible for aligning our organization with key client initiatives, interfacing daily with customers, and connecting with VP and Director level clients on a regular basis. They will also travel to client locations, understand business requirements, and tie them to technology solutions.
This role requires excellent experience in application development and support, integration development, and data management. The ideal candidate will provide technical leadership, manage day-to-day operations, and guide developers in design and coding tasks.
The Technical Lead will play a key role in hiring technical talents, staying up-to-date on the latest technology, and ensuring the greatest ROI for customers and our organization.
Key Responsibilities:- Align Sigmoid with key Client initiatives
- Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
- Connect with VP and Director level clients on a regular basis
- Travel to client locations
- Ability to understand business requirements and tie them to technology solutions
- Facilitate in Technical Aspects
- Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies
- Excellent experience in Application development and support, integration development and data management
- Provide technical leadership and manage it day to day basis
- Guiding developers in day to day design and coding tasks
- Play a key role in hiring technical talents to build the future of Sigmoid
- Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid
- Hands on coder with good understanding on enterprise level code
- Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
- Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
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