SDE 1/2 - Pyspark (GS)

You will be responsible for building a highly-scalable and extensible robust application. This position reports to the Engineering Manager.

Responsibilities:

• Align Sigmoid with key Client initiatives
  • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
  • Ability to understand business requirements and tie them to technology solutions
  • Open to work from client location as per the demand of the project / customer.
• Facilitate in Technical Aspects
  • Develop and evolve highly scalable and fault-tolerant distributed components using Java technologies.
  • Excellent experience in Application development and support, integration development and quality assurance.
• Provide technical leadership and manage it day to day basis
  • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
• 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 solution 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: -

• 3-5 year track record of relevant work experience and a computer Science or a related technical discipline is required
• Experience in development of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, and propose comprehensive solutions.
• Experience with functional and object-oriented programming, Java (Preferred) or Python is a must.
• Hand-On knowledge in Map Reduce, Hadoop, PySpark, Hbase and ElasticSearch.
• Development and support experience in Big Data domain
• Experience with database modelling and development, data mining and warehousing.
• Unit, Integration and User Acceptance Testing.
• Effective communication skills (both written and verbal)
• Ability to collaborate with a diverse set of engineers, data scientists and product managers
• Comfort in a fast-paced start-up environment.

Preferred Qualification:

• Experience in Agile methodology.
• Proficient with SQL and its variation among popular databases.
• Experience working with large, complex data sets from a variety of sources.