Job Description We are looking for someone who can work in the Analytics vertical to extend and scale our product-line. Every product line has the dependency on Analytics vertical within LimeTray eco-system and SSE-2 is expected to collaborate with internal teams to own stable and scalable releases. While every product-line has their own tech stack and it's expected that candidate is comfortable working across all of them as and when needed. Some of the technologies/frameworks that we work on - Microservices, Java, Node, Python, MySQL, MongoDB, Cassandra, Angular, React, Kubernetes, AWS Requirements: Minimum 4-years work experience in building, managing and maintaining Analytics applications B.Tech/BE in CS/IT from Tier 1/2 Institutes Experience in Handling small teams Strong Fundamentals of Data Structures and Algorithms Good analytical & problem-solving skills Strong hands-on experience in Python In-depth Knowledge of queueing systems (Kafka/ActiveMQ/RabbitMQ) Experience in building Data pipelines & Real-time Analytics Systems Experience in SQL (MYSQL) & NoSQL (Mongo/Cassandra) databases is a plus Understanding of Service Oriented Architecture Delivered high-quality work with a significant contribution Expert in git, unit tests, technical documentation and other development best practices What we are looking for: Customer first mentality. Develops emotional bonding for the product and does right prioritization. Ownership Driven - Owns end to end development Proactive & Persistence - Acts without being told to and demonstrates a willingness to go the distance to get something done Strict on Quality and Stability of the product. Communication - Speaks and writes clearly and articulately. Maintains this standard in all forms of written communication. Team Player
Role Brief: 6 + years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions. Brief about Fractal & Team : Fractal Analytics is Leading Fortune 500 companies to leverage Big Data, analytics, and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Our Big Data capability team is hiring technologists who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer and who loves to push the boundaries to solve complex business problems using innovative solutions, then we would like to talk with you. Job Responsibilities : Provides technical leadership in BigData space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc..NoSQL stores like Cassandra, HBase etc) across Fractal and contributes to open source Big Data technologies. Visualize and evangelize next generation infrastructure in Big Data space (Batch, Near RealTime, RealTime technologies). Evaluate and recommend Big Data technology stack that would align with company's technology Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms Drive significant technology initiatives end to end and across multiple layers of architecture Provides strong technical leadership in adopting and contributing to open source technologies related to BigData across the company. Provide strong technical expertise (performance, application design, stack upgrades) to lead Platform Engineering Defines and Drives best practices that can be adopted in BigData stack. Evangelizes the best practices across teams and BUs. Drives operational excellence through root cause analysis and continuous improvement for BigData technologies and processes and contributes back to open source community. Provide technical leadership and be a role model to data engineers pursuing technical career path in engineering Provide/inspire innovations that fuel the growth of Fractal as a whole EXPERIENCE : Must Have : Ideally, This Would Include Work On The Following Technologies Expert-level proficiency in at-least one of Java, C++ or Python (preferred). Scala knowledge a strong advantage. Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies -- one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc.Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage. Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services and the AWS CLI) Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works. A technologist - Loves to code and design In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners. Relevant Experience : Java or Python or C++ expertise Linux environment and shell scripting Distributed computing frameworks (Hadoop or Spark) Cloud computing platforms (AWS) Good to have : Statistical or machine learning DSL like R Distributed and low latency (streaming) application architecture Row store distributed DBMSs such as Cassandra Familiarity with API design Qualification: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
Job Requirement Installation, configuration and administration of Big Data components (including Hadoop/Spark) for batch and real-time analytics and data hubs Capable of processing large sets of structured, semi-structured and unstructured data Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review. Familiar with data architecture for designing data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing Optional - Visual communicator ability to convert and present data in an easy comprehensible visualization using tools like D3.js, Tableau To enjoy being challenged, solve complex problems on a daily basis Proficient in executing efficient and robust ETL workflows To be able to work in teams and collaborate with others to clarify requirements To be able to tune Hadoop solutions to improve performance and end-user experience To have strong co-ordination and project management skills to handle complex projects Engineering background
About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.
We are looking at a Big Data Engineer with at least 3-5 years of experience as a Big Data Developer/EngineerExperience with Big Data technologies and tools like Hadoop, Hive, MapR, Kafka, Spark, etc.,Experience in Architecting data ingestion, storage, consumption model.Experience with NoSQL Databases like MongoDB, HBase, Cassandra, etc.,Knowledge of various ETL tools & techniques
Looking for a technically sound and excellent trainer on big data technologies. Get an opportunity to become popular in the industry and get visibility. Host regular sessions on Big data related technologies and get paid to learn.
Our company is working on some really interesting projects in Big Data Domain in various fields (Utility, Retail, Finance). We are working with some big corporates and MNCs around the world. While working here as Big Data Engineer, you will be dealing with big data in structured and unstructured form and as well as streaming data from Industrial IOT infrastructure. You will be working on cutting edge technologies and exploring many others while also contributing back to the open-source community. You will get to know and work on end-to-end processing pipeline which deals with all type of work like storing, processing, machine learning, visualization etc.
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.