Job Description:

• We’re searching for an enthusiastic Software Engineer to help us design, build, and deploy software solutions.
• Gathering user requirements, establishing system functionality, and building code in Full Stack ( React & Nodejs) /
• React / Nodejs / Aws / Vue / Angular are all tasks of a Software Engineer.
• From preliminary system study to tests and deployment, our ideal applicants should be familiar with the software development life cycle (SDLC).
• Finally, the Software Engineer’s job is to create high-quality, inventive, and fully functional software that adheres to coding standards and technical design.

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Responsibilities:

• Complete the entire software development life cycle (SDLC)
• To establish needs and solutions, create flowcharts, layouts, and documentation.
• Make sure your code is well-designed and testable.
• Produce specifications and assess the feasibility of implementing them.
• Create a completely functional software system by combining software components.
• Create software verification plans and methods for quality assurance.
• Maintain software functionality by documenting it.
• Existing systems should be troubleshooted, debugged, and upgraded.
• Deploy applications and gather feedback from users.
• Observe project plans and industry guidelines.
• Make sure your programme is up to date and has the newest features.

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Educational Qualifications:

• Must have exposure in developing softwares as a {Full Stack ( React & Nodejs) / React / Nodejs / Aws / Vue / Angular} developer.
• Excellent knowledge of relational databases, SQL, and ORM technologies (JPA2, Hibernate).
• Familiarity with code versioning tools such as Git.
• Ability to understand business requirements and translate them into technical requirements.
• A knack for benchmarking and optimization.

Job Description:

• Develop algorithms for a SaaS-based marketing analytics platform in collaboration with the Technical Lead Manager.
• Work closely with System Architects to ensure that third-party engines are seamlessly integrated into the SaaS platform.
• A hands-on developer who contributes high-quality, production-ready code using a test-driven approach to development.
• Individual with a technical bent who actively participates in design and code reviews.
• Resolve technical issues and introduce new ideas to improve Neustar’s scalability and performance.

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Qualifications/Education:

• Engineering bachelor’s degree with 0-1 year of experience
• Strong algorithms and data structures, as well as computer skills in any of the programming languages listed below —
• Internals of Java (JVM-based language), Python, C/C++ SQL, and Databases
• Outstanding academic credentials and/or a track record of success

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Additional Information:

• Excellent scripting knowledge of Python and Shell scripting.
• Working knowledge on Large scale data processing systems like Hadoop and Map Reduce Programming is a Plus
• Working Knowledge on Java/J2EE technology with exposure to frameworks such as Spring and Hibernate would be an added advantage
• Bonus – github/gitlab/stackoverflow profile and OSS contributions, publications etc.

Team and Role Overview

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Responsibilities

• Design and develop new tools using Java technologies.
• Work closely with product management and clients to build new features from initial requirements through delivery.
• Assists in the build, documentation and testing of the packaged business solution based on the specifications provided by the product manager.

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Skills and Qualifications

• Excellent object-oriented analysis, design & development skills.
• Familiarity with Java, RMI, XML, C++, UNIX/Linux.
• Familiarity with Oracle and/or Sybase databases.
• An interest in finance.

Job Description:

Working with a team of bright and experienced developers to construct high-performance, low-latency, and highly scalable Java-based services is a big part of this job. You will be involved in the following activities in this position:

• Assisting with the creation of new and scalable Java-based capabilities to improve the Consumer Data Management service offerings while maintaining high coding standards.
• Working directly with Product Owners, Technical Leads, and other developers to identify features and user stories that have a significant impact on the business and enhance the customer experience.
• Working as part of a co-located Agile SCRUM team to fulfil deadlines while also working through and providing solutions to developing difficulties.
• Alternative technology solutions are being investigated in order to suit changing business requirements.

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All About You:

• Strong programming skills in Java, micro-service development and Junits.
• Knowledge of Spring Cloud, Spring Boot, Tomcat.
• Exposure to both SQL and NoSQL persistence technologies, e.g. MongoDB, Redis preferable.
• Knowledge of software development test approaches & frameworks: ATDD/BDD, Unit tests, Cucumber, Spock.
• Command of CI/CD principles and tools such as Maven, Jenkins, Chef.
• Experience working with cloud hosting technologies such as PCF, Azure an advantage.
• Full stack engineering experience with Angular an advantage.
• Exposure to Splunk, Dynatrace or other monitoring solutions an advantage.
• Excellent communication and collaboration skills.
• Show initiative and demonstrates a willingness to take on challenging opportunities.
• Highly motivated and interested in being part of a high performance team environment.

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Education:

• Bachelor’s degree in Information Technology, Computer Science or equivalent work experience.

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Positions: Big Data Operations Engineer

Job Location: Hyderabad

Salary: Best In Industry

Experience: 0-3 years

Eligibility Criteria for Micron Recruitment 2021:

• Associates Degree with equivalent experience

Job Description:

Micron Technology is looking for Big Data data operations engineers to join our Enterprise Analytics and Data organization’s IT Data Operations Team. In all elements of data, data warehousing, and business intelligence, the Data Operation team collaborates closely with the development team and Micron’s business divisions to support and maintain data assets and Big Data applications and solutions. To join our IT Operations team, we’re searching for people who have experience with Big Data technologies, data warehousing, database development, and ETL development. This position will primarily be responsible for Hadoop, Teradata, SSIS, NiFi, and other Big Data technologies.

Job Duties:

• Support Data Warehouse and Business Intelligence (BI) systems and platforms at the L2 level.
• Participate in the creation of Data Warehouse data models and solutions, as well as their architecture evaluation and deployment.
• Collaborate with business partners and other IT teams to ensure that data solutions are available, that failures are recovered, and that the system runs smoothly.
• Troubleshoot operational issues, escalate escalations, and resolve business partner concerns in a timely way, focusing on business priorities and good teamwork.
• As it pertains to operations, manage knowledge.
• Own and lead the post-mortem for major issues.
• Own and support programmes for continuous improvement in solution and operational health.
• Work on a shift-based rotational schedule to get essential insights into the performance of the Operations team and to operate in an analytic-driven operational environment.
• Ability to learn and use a variety of utilities and tools that aid in the monitoring and alerting of operations
• Participate in condensed knowledge transfer seminars and learn new solutions.
• Participate in the on-call rotation to provide help 24 hours a day, seven days a week.
• Maintain support material such as FAQs, Knowledge Articles, On-Call Guides, and Run Books, among other things.

Job Requirements:-

• 0-3 years of relevant expertise in Data Warehousing, Business Intelligence, and Analytics is required.
• 0-3 years of database, Hadoop, Teradata, and other Big Data ETL technologies experience
• Software Engineering background and experience a plus. 0-3 years Linux/Unix administration skills
• Knowledge of Data Vault, Inmon, or Kimball data architecture is advantageous.
• Strong analytical, problem-solving, and organising skills, as well as an enthusiasm for statistics and information.
• A bachelor’s degree in computer science, management information systems, or a closely related discipline is required.