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
- 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.
- 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.
- 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.
- 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.
- 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).
Skills:- Presales, Data engineering, Stakeholder management, Risk Management, Change Management, Billing and Project Management
