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Carrot Peelers, Sales, Personality and Your Job Search
In-House
Attorney
Information Technology
Min 6 yrs required
Staff Software Engineer The candidate will be an integral part of the Commercial Data Services product development team focusing on design and build of software solutions that leverage data to solve business problems. The role is for a self-motivated individual with expert software engineering skills and solid expertise with Big Data systems integration and technologies. The candidate will be extensively involved in hands-on activities including POCs, design, documentation, development and test of new functionality. Candidate must be flexible and willing to switch tasks based on team's needs. Responsible for the architecture, design, development, implementation. Lead the development of new products iteratively by building quick POCs and converting ideas into real products. Design and develop mission-critical systems, delivering high-availability and performance. Design, code and integrate application business layer with external application components. Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology. Develop code and mentor junior developers to ensure deliverables are on time, within budget, and with good code quality. Have a passion for delivering zero defect code and be responsible for insuring the team's deliverables meet or exceed the prescribed defect SLA. Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
Qualification and Experience
The candidate should have Bachelor’s degree or equivalent. Should preferably have 7-10 years of work experience and a Bachelor’s Degree or 6 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or Full Stack Software Development experience in of large scale mission critical applications. Demonstrated hands on experience building Big Data solutions. Expertise in Big Data technologies in Hadoop ecosystem; Spark, MapReduce,Hive, HDFS, Yarn, Kafka, Pig, Oozie, Hbase is desired. Should preferably have experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following technologies: Hadoop distributions, Storm and Spark streaming, Kafka, Spark advanced analytics, NoSQL data warehouses such as MongoDB Hbase, Cassandra, and data processing frameworks like Apache Nifi. Hands on experience with Scala, Python, and Java is desired. Understanding of Machine Learning libraries like Apache Mahout and Spark Mlib is desired. Should preferably have developing data-enabling software utilizing open source frameworks or projects such as Spring, Angular JS, SOLR, Drools, etc. Experience with n-tier web application development and experience in J2EE based frameworks is desired. Experience with Web Service development using REST, JSON, XML is desired. Experience with data visualization technologies like C3.js, D3.js is preferred. Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation. Must build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Teraform, Ruby, Git and Docker.
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