Job Description In this role you will help us build, improve and maintain our huge data infrastructure where we collect TB's of logs daily. Data driven decisioning is crucial to the success of our customers and this role is central to ensuring we have a cutting edge data infrastructure to do things faster, better, and cheaper! Experience 1 - 3 Years Required Skills -Must be a polyglot with good command over Java, Scala and a scripting language -A non trivial project experience in distributed computing frameworks like Apache Spark/Hadoop/Pig/Kafka/Storm with sound knowledge of their internals -Expert knowledge of relational databases like MYSQL, and in-memory data stores like Redis -Regular participation in coding/hacking contests like Top-Coder, Code-Jam and Hacker-Cup is a huge plus Pre requisites -Strong analytical skills and solid foundation in Computer Science fundamentals specially in -DataStructures/Algorithms, Object Oriented principles, Operating Systems, Computer Networks -Ability and willingness to take ownership and work under minimum supervision, independently or as a part of a team -Passion for innovation and "Never Say Die" attitude -Strong verbal and written communication skills Education BTech/M.Tech/MS/Dual in Computer Science with above average academic credentials
Looking for JAVA Tech Lead-AWS/HAdoop Experienced Person. Product based firm preferred.Must have handled teaam size of 10plus people
Description Deep experience and understanding of Apache Hadoop and surrounding technologies required; Experience with Spark, Impala, Hive, Flume, Parquet and MapReduce. Strong understanding of development languages to include: Java, Python, Scala, Shell Scripting Expertise in Apache Spark 2. x framework principals and usages. Should be proficient in developing Spark Batch and Streaming job in Python, Scala or Java. Should have proven experience in performance tuning of Spark applications both from application code and configuration perspective. Should be proficient in Kafka and integration with Spark. Should be proficient in Spark SQL and data warehousing techniques using Hive. Should be very proficient in Unix shell scripting and in operating on Linux. Should have knowledge about any cloud based infrastructure. Good experience in tuning Spark applications and performance improvements. Strong understanding of data profiling concepts and ability to operationalize analyses into design and development activities Experience with best practices of software development; Version control systems, automated builds, etc. Experienced in and able to lead the following phases of the Software Development Life Cycle on any project (feasibility planning, analysis, development, integration, test and implementation) Capable of working within the team or as an individual Experience to create technical documentation
We are looking to hire passionate Java techies who will be comfortable learning and working on Java and any open source frameworks & technologies. She/he should be a 100% hands-on person on technology skills and interested in solving complex analytics use cases. We are working on a complete stack platform which has already been adopted by some very large Enterprises across the world. Candidates with prior experience of having worked in typical R&D environment and/or product based companies with dynamic work environment will be have an additional edge. We currently work on some of the latest technologies like Cassandra, Hadoop, Apache Solr, Spark and Lucene, and some core Machine Learning and AI technologies. Even though prior knowledge of these skills is not mandatory at all for selection, you would be expected to learn new skills on the job.
Job Summary: In this position, you will manage and provide technical leadership of the product team. Leadership, communication, prioritization and a focus on excellence are essential characteristics for this role Responsibilities and Duties: - Manage (recruit, motivate, develop, strengthen) the product engineering team - Mentor and lead the engineering team as a subject matter expert for all technology and architecture related issues. - Architect, Design, Develop & Implement frameworks and application software components using Cloud and Enterprise/Open Source technologies - Be accountable for the overall technical excellence and quality of the platforms - Should be proactive and enhance existing software architecture by analyzing and identifying areas - Create and Manage technology strategy that can serve the business strategy - Low burn, highly iterative new product development and testing - 80/20 rule: effectively create low resource high impact technology solutions - Future ready: always looking to disrupt and challenge the status quo Required Experience, Skills and Qualifications: - B.E in Computer Science or equivalent with demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership - Articulates a clear technology vision that is inspiring and aligned with business needs and Experienced in articulating the business goals and cascading them down the organization appropriately so that every person in the organization is appropriately stretched to achieve outcomes - Minimum of 8 – 10 years of progressive experience in software engineering out of which 70% should be in startup companies / environment, leadership capacity and experience across variety of technology stacks (from Conception to Go-Live). Ability to work efficiently in an entrepreneurial and in a startup environment. - Strong experience in building and deploying Enterprise grade products - Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies - Strong experience in RDBMS & preferably worked with NoSQL & Hadoop as well and worked across multiple platforms (Front-end, Middleware) - Well versed in technologies like Angular, Core JS, Java, Python, etc.
Securonix is a Big Data Security Analytics product company. The only product which delivers real-time behavior analytics (UEBA) on Big Data.