It is my pleasure to introduce you to IDEAS2IT Technologies, Chennai. If you are looking for a challenging position as a BigData engineer solving complex business problems by applying the latest in Data Science, Machine Learning and AI read on. Ideas2IT is a high-end product engineering firm that rolls out its own products and also helps Silicon Valley firms with their product engineering. We are looking for above average programmers to be part of our Data Science Lab. You will be working on projects like An AI platform built using Google TensorFlow for a predictive hiring product. Betting odds platform that to match odds offered to leverage spreads PPO platform for predictive pricing and promotions for enterprise eCommerce. Part of your tool set will be Google TensorFlow, Python ML frameworks, Apache Spark, R, Google BigQuery, Scala / Octave, Kafka and so on. If you have any relevant experience great! If not, it doesn't matter. We believe in hiring people with high IQ and the right attitude over ready-made skills. As long as you are passionate about building world class enterprise products and understand whatever technology that you are working on in-depth, we will bring you up to speed on all the technologies we use. Oh BTW, did we mention that you need to be super smart? Sounds interesting? Ideas2IT is a high-end product firm. Started by an ex-Googler, Murali Vivekanandan, we count Siemens, Motorola, eBay, Microsoft and Zynga among our clients. We solve some very interesting problems in the USA startup ecosystem and have created great products in the process. When we build, we build great! We actively contribute to open source projects. We've built our own frameworks. We're betting the house on Big Data, and with a Stanford grad leading the team, we're sure to win. We have rolled 2 of our products as separate companies last year and raised institutional funds - Pipecandy, Idearx.
• Looking for Big Data Engineer with 3+ years of experience. • Hands-on experience with MapReduce-based platforms, like Pig, Spark, Shark. • Hands-on experience with data pipeline tools like Kafka, Storm, Spark Streaming. • Store and query data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto. • Hands-on experience in managing Big Data on a cluster with HDFS and MapReduce. • Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm. • Experience with Azure cloud, Cognitive Services, Databricks is preferred.
Responsibilities: Design and develop ETL Framework and Data Pipelines in Python 3. Orchestrate complex data flows from various data sources (like RDBMS, REST API, etc) to the data warehouse and vice versa. Develop app modules (in Django) for enhanced ETL monitoring. Device technical strategies for making data seamlessly available to BI and Data Sciences teams. Collaborate with engineering, marketing, sales, and finance teams across the organization and help Chargebee develop complete data solutions. Serve as a subject-matter expert for available data elements and analytic capabilities. Qualification: Expert programming skills with the ability to write clean and well-designed code. Expertise in Python, with knowledge of at least one Python web framework. Strong SQL Knowledge, and high proficiency in writing advanced SQLs. Hands on experience in modeling relational databases. Experience integrating with third-party platforms is an added advantage. Genuine curiosity, proven problem-solving ability, and a passion for programming and data.
Description Auzmor is US HQ’ed, funded SaaS startup focussed on disrupting the HR space. We combine passion, domain expertise and build products with focus on great end user experiences We are looking for Technical Architect to envision, build, launch and scale multiple SaaS products What You Will Do: • Understand the broader strategy, business goals, and engineering priorities of the company and how to incorporate them into your designs of systems, components, or features • Designing applications and architectures for multi-tenant SaaS software • Responsible for the selection and use of frameworks, platforms and design patterns for Cloud based multi-tenant SaaS based application • Collaborate with engineers, QA, product managers, UX designers, partners/vendors, and other architects to build scalable systems, services, and products for our diverse ecosystem of users across apps What you will need • Minimum of 5+ years of Hands on engineering experience in SaaS, Cloud services environments with architecture design and definition experience using Java/JEE, Struts, Spring, JMS & ORM (Hibernate, JPA) or other Server side technologies, frameworks. • Strong understanding of architecture patterns such as multi-tenancy, scalability, and federation, microservices(design, decomposition, and maintenance ) to build cloud-ready systems • Experience with server-side technologies (preferably Java or Go),frontend technologies (HTML/CSS, Native JS, React, Angular, etc.) and testing frameworks and automation (PHPUnit, Codeception, Behat, Selenium, webdriver, etc.) • Passion for quality and engineering excellence at scale What we would love to see • Exposure to Big data -related technologies such as Hadoop, Spark, Cassandra, Mapreduce or NoSQL, and data management, data retrieval , data quality , ETL, data analysis. • Familiarity with containerized deployments and cloud computing platforms (AWS, Azure, GCP)
Full Stack Developer for Big Data Practice. Will include everything from architecture to ETL to model building to visualization.
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 firstname.lastname@example.org and let us discuss how together we can take technological education in the country to new heights.