Job Description:
SkillSet: energetic, product, build, quarterly, ability to learn. Dear Candidate , We are looking for someone who is: 1) Good at Programming / Coding. Hands on any of: Java / Python / Hadoop / Spark / Apache / Big Data technologies , NLP would be preferred. 2) Excited about the startup culture of learning new things , researching the latest trends and actively being involved with the projects 3) Ability to learn things quickly and work with little supervision. We will guide you but we expect you to be a quick and smart learner What we offer with the Job: 1) Fast paced and exciting startup culture with a lot to learn from experienced young geeks team. 2) Working under technical Expertise to enhance research and using new technologies. 3) Actively participate in discussions and contribute to better solutions to the proposed problems. 4) Hands on experience in interacting with clients and working on scratch projects to completion. 5) Healthy discussions on a particular technology or process. Education Qualifications: B.Tech / M.Tech in Computer Science / I.T or equivalent stream. CGPA: min 6cgp About us: SIGMOID https: / / www.sigmoid.com / Sigmoid - A fast growing Product Based BIG DATA startup. VC Funded & Backed by experienced Professionals & Advisors. Sigmoid provides a completely managed platform for Real Time Streaming on top of Apache Spark addressing varied use cases across industry verticals like Fraud Detection , Sensor Data Analytics , Log Analytics , among others. Developers can easily construct complex streaming pipelines using the platform s extensive feature set and provide end - to end solutions. We have grown in last 3 yrs from a team of 5 people to 60 people. Our plan is to grow as a well established organization by adding efficient employees. Our Founders are IIT - Kharagpur allumns with diverse work experience from MNC giants. Our development team consists of people from NIT , IIT and BITS - Pilani and Mesra , IIIT too. We believe in qualitative and timely performance delivery. We have plans to become the biggest and the best specialist Big Data Solution Provider. We like to aim high. What s more , we firmly believe we can reach this target by 2016. In order for us to achieve this goal , we re on the lookout for the brightest and best talent to join us as we embark on our journey together in creating the best Big Data company. We have great benefits : Why you should join us: Flexible work Timings An unlimited array of snacks and beverages Great heath insurance benefits In - house Gym Monthly Birthday Celebrations Often Outdoor Parties Monthly Networking Meetups (Talking options) Flex spending Laptop Advance Gaming Zone: Xbox games , Foosball table Quarterly Cricket and badminton tournaments. We dream audaciously big and build everything on BIGDATA. We love tackling challenging problems and doing what s never been done before. We re solving a real frustration with managing data for hundreds of millions of people. We re a collaborative , young and tight - knit team that strives for excellence and FUN. We re energetic and passionate about what we do individually & together.,
Functional Area:
Web / Mobile Technologies,Sales / BD
Experience:
3 - 8 years
Qualification:
("Computers in B.C.A") OR ("B.Tech/B.E in any field")
Salary:
5 Lakh to 12 Lakh INR
Sigmoid
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Job Ad publication date: 21 Jan 2021
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Disclaimer
Job Advertisements on CareerAge.com are sourced from various employers and media. CareerAge.com makes no warranties about the Advertiser's authenticity, accuracy, reliability, completeness, or timeliness of the material, services, software, text, graphics and links. The Job Advertisements do not constitute advice and should not be relied upon in making (or refraining from making) any decision. The individual would have to conduct his/her own background checks on the bonafide nature of the Advertisers as well as the Job Advertisements, and must exercise utmost caution before getting into any kind of monetary transactions/agreements with the Advertisers. CareerAge.com shall not be liable in the event of any monetary/financial loss or any other loss incurred/suffered by the individual on account of his/her own decision in this regard.