Sigmoid - Engineering Manager

As an Engineering 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

- 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)