Technical Project Manager
As a Technical Project Manager, you will be leading a team to build a highly scalable and extensible big data platform that provides the foundation for collecting, storing, modelling, and analysing massive data sets from multiple channels.
Responsibilities
1. Align Sigmoid with key Client initiatives
- Interface daily with customers across leading Fortune 500 companies to understand strategic requirements.
- Connect with CIO, VP, and Director level clients on a regular basis.
- Travel to client locations.
- Ability to understand business requirements and tie them to technology solutions.
2. Build a delivery plan with domain experts and stay on track
- 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.
3. Build team and manage it on a day-to-day basis
- Play the key role of hiring manager to build the future of Sigmoid.
- Guide developers in day-to-day design and coding tasks, stepping into code if needed.
- Define your team structure, hire, and train your team as needed.
4. Stay up to date on the latest technology to ensure the greatest ROI for customer & Sigmoid
- Hands-on coder with good understanding of 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.
5. Culture
- Must be a strategic thinker with the ability to think unconventional / out-of-box.
- Analytical and data-driven orientation.
- Raw intellect, talent, and energy are critical.
- Entrepreneurial and Agile: understands the demands of a private, high-growth company.
- Ability to be both a leader and hands-on "doer".
Qualifications
- 7+ years track record of relevant work experience and a Computer Science or related technical discipline is required.
- Dynamic leader who has directly managed a team of highly competent developers in a fast-paced work environment.
- Experience in architecture and delivery of enterprise-scale applications.
Preferred Qualifications
- Experience in Agile methodology.
- Development and support experience in Big Data domain.
- Architecting, developing, implementing, and maintaining Big Data solutions.
- Experience with database modelling and development, data mining, and warehousing.
- Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, Kafka, etc).
Shubham Vishwakarma
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