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SeniorTechnical Project Manager
3 months ago
Job Description:
- Lead a team to build a highly scalable and extensible big data platform
- Collect, store, model, and analyze massive data sets from multiple channels
Responsibilities:
- Align Sigmoid with key Client initiatives
- Interact with customers from leading Fortune 500 companies to understand strategic requirements
- Engage with CIO, VP, and Director level clients regularly
- Travel to client locations to understand business requirements and link them to technology solutions
- Create a delivery plan with domain experts and ensure progress
- Design, develop, and evolve highly scalable and fault-tolerant distributed components using Big data technologies
- Manage a team on a daily basis
- Lead the hiring process to shape the future of the company
- Guide developers in design and coding tasks
- Stay updated on the latest technology trends to maximize customer and company ROI
- Hands-on coding experience with enterprise-level code understanding
- Design and implement APIs, abstractions, and integration patterns for distributed computing challenges
- Define technical requirements, automate jobs, productionize tasks, and explore new big data technologies
Culture:
- Strategic thinker with unconventional and out-of-the-box approach
- Analytical and data-driven mindset
- Valuable qualities include raw intellect, talent, and energy
- Entrepreneurial spirit and Agile mindset suitable for a high-growth company
- Dual ability as a leader and hands-on contributor
Qualifications:
- 8+ years of relevant work experience in Computer Science or related field
- Proven leadership managing teams of competent developers in a fast-paced environment
- Expertise in architecture and delivery of Enterprise-scale applications
Preferred Qualifications:
- Experience in agile methodology
- Background in development and support within the Big Data domain
- Architecting, developing, implementing, and maintaining Big Data solutions
- Proficiency in database modeling, data mining, and warehousing
- Familiarity with the Hadoop ecosystem including various tools like HDFS, MapReduce, Spark, etc.
- ADB, ADF, PM tools, Synopsys
