Engineering Manager

Responsibilities:

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.

• 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)