Your mission, roles and requirements:

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 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 Client.
• Guiding 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

• 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.

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 modelling and development, data mining and warehousing.
• Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc).