Job Title

You will be responsible for building 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 initiativesInterface daily with customers across leading Fortune 500 companies to understand strategic requirementsConnect with VP and Director level clients on a regular basis.Travel to client locationsAbility to understand business requirements and tie them to technology solutionsFacilitate in Technical AspectsDesign, 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.Provide technical leadership and manage it day to day basisGuiding developers in day to day design and coding tasksPlay a key role in hiring technical talents to build the future of Sigmoid.Stay up-to-date on the latest technology to ensure the greatest ROI for customer & SigmoidHands on coder with good understanding on enterprise level codeDesign and implement APIs, abstractions and integration patterns to solve challenging distributed computing problemsExperience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment CultureMust 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: -6+ years track record of relevant work experience and a computer Science or a related technical discipline is requiredExperience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, propose comprehensive solutions and guide junior staffProven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as AWS preferredExperience working with large, complex data sets from a variety of sourcesExperience with functional and object-oriented programming, Python must with PysparkEffective communication skills (both written and verbal)Ability to collaborate with a diverse set of engineers, data scientists and product managersPreferred Qualification:Experience in agile methodologyDevelopment and support experience in Big Data domainArchitecting, developing, implementing and maintaining Big Data solutionsExperience with database modeling and development, data mining and warehousing.