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, modeling, and analyzing 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 day to day basis
Play the key role of hiring manager to build the future of Sigmoid.
Guiding developers in day to day design and coding tasks, stepping in to 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 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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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 :-
10+ year track record of relevant work experience and a Computer Science or related technical discipline is required
Dynamic leader who has directly managed team of highly competent developers in fast paced work environment
Experience in Architecture and delivery of Enterprise scale applications.
Preferred Qualification
Experience in agile methodology
Development and support experience in Big Data domain
Architecting, developing, implementing and maintaining Big Data solutions
Experience with database modeling and development, data mining and warehousing.
Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)
Note
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