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 :

Align Sigmoid with key Client initiatives

o Interface daily with customers across leading Fortune 500 companies to understand strategic requirements

o Connect with CIO, VP and Director level clients on a regular basis.

o Travel to client locations

o Ability to understand business requirements and tie them to technology solutions.

Build a delivery plan with domain experts and stay on track

o Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies.

o Excellent experience in Application development and support, integration development and data management.

Build team and manage it day to day basis

o Play the key role of hiring manager to build the future of Sigmoid.

o Guiding developers in day-to-day design and coding tasks, stepping into code if needed.

o 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

o Hands on coder with good understanding on enterprise level code

o Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems

o 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

o Must be a strategic thinker with the ability to think unconventional / out : of : box.

o Analytical and data driven orientation. o Raw intellect, talent and energy are critical.

o Entrepreneurial and Agile : understands the demands of a private, high growth company.

o Ability to be both a leader and hands on "doer".

Qualifications :

 7+ 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 modelling and development, data mining and warehousing.

 Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)