Sigmoid is a fast growing Product Based BIG DATA startup. Sequoia Funded & Backed by experienced Professionals & Advisors. Sigmoid is revolutionizing business intelligence and analytics by providing unified tools for historical and real time analysis on Apache Spark. With their suite of products, Sigmoid is democratizing streaming use-cases like RTB Data Analytics, Log Analytics, Fraud Detection, Sensor Data Analytics etc. Sigmoid can enable the customers’ engineering team to set up their infrastructure on Spark and ramp up their development timelines, or enable the analytics team to derive insights from their data. Sigmoid has created a real time exploratory analytics tool using on Apache SPARK which not only vastly improves performance but also reduces the cost. A user can quickly analyse huge volumes of data, filter through multiple dimensions, compare results across time periods and carry out root cause analysis in a matter of seconds. Leading organisations across industry verticals are currently using Sigmoid’s platform in production to create success stories. ------------------------------------ What Sigmoid offers you: Work in a well-funded (Sequoia Capital) Big Data company. Deal with Terabytes of data on a regular basis. Opportunity to contribute to top big data projects. Work on complex problems faced by leading global companies in multiple areas such as fraud detection, real-time analytics, pricing modeling and so on ------------------------------------------------------ We are looking for Someone who has: 6+ years of demonstrable experience designing technological solutions to complex data problems, developing efficient and scalable code. Experience in Design, Architecture, Development of Big Data Technologies. Provides Technical leadership in Big Data space (Apache Spark, Kafka, Flink, Hadoop, MapReduce, HDFS, Hive, HBase, Flume, Sqoop, NoSQL, Cassandra, HBase) Strong understanding of databases and SQL. Defines and Drives best practices in Big Data stack. Drives operational excellence through root cause analysis and continuous improvement for Big Data technologies and processes. Operating knowledge of cloud computing platforms (AWS and/ or Azure or Google Cloud). Mentors/coaches engineers to facilitate their development and provide technical leadership to them A technologist who Loves to code and design and have great problem-solving skills, and the ability & confidence to hack their way out of tight corners. In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners. ------------------------------------ Preferred Qualifications: Engineering Bachelors/Masters in Computer Science/IT. Top Tier Colleges (IIT, NIT, IIIT, etc) will be preferred. Salary is not a constraint for the right talent.
Responsibilities Developing intelligent and scalable engineering solutions from scratch. Working on high/low-level product designs & roadmaps along with a team of ace developers. Building products using bleeding-edge technologies using Ruby on Rails. Building innovative products for customers in Cloud, DevOps, Analytics, AI/ML and lots more.
We are an early stage startup working in the space of analytics, big data, machine learning, data visualization on multiple platforms and SaaS. We have our offices in Palo Alto and WTC, Kharadi, Pune and got some marque names as our customers. We are looking for really good Python programmer who MUST have scientific programming experience (Python, etc.) Hands-on with numpy and the Python scientific stack is a must. Demonstrated ability to track and work with 100s-1000s of files and GB-TB of data. Exposure to ML and Data mining algorithms. Need to be comfortable working in a Unix environment and SQL. You will be required to do following: Using command line tools to perform data conversion and analysis Supporting other team members in retrieving and archiving experimental results Quickly writing scripts to automate routine analysis tasks Creating insightful, simple graphics to represent complex trends Explore/design/invent new tools and design patterns to solve complex big data problems Experience working on a long-term, lab-based project (academic experience acceptable)
Should be able to create AWesome Dashboards - Should have hands on knowledge on all of the following: > Visualizations > Datasets > Reports > Dashboards > Tiles - Excellent Querying Skills using TSQL. - Should have prior exposure to SSRS and/or SSAS - Working knowledge of Microsoft Power Pivot, Power View, and Power BI Desktop.
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.
We are a team with a mission, A mission to create and deliver great learning experiences to engineering students through various workshops and courses. If you are an industry professional and :- See great scope of improvement in higher technical education across the country and connect with our purpose of impacting it for good. Keen on sharing your technical expertise to enhance the practical learning of students. You are innovative in your ways of creating content and delivering them. You don’t mind earning few extra bucks while doing this in your free time. Buzz us at email@example.com and let us discuss how together we can take technological education in the country to new heights.