Dell Technologies | Jobs | Software Principal Engineer – Data Scientist | BigDataKB.com | 31-03-22

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Job Location: Bangalore

Principal Software Engineer

The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics โ€” all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us as a Principal Software Engineer on our Engineering Development team in Bangalore to do the best work of your career and make a profound social impact.

What youโ€™ll achieve

As a Software Principal Engineer, you will be responsible for developing sophisticated systems and software basis the customerโ€™s business goals, needs and general business environment creating software solutions.

You will:

  • Contribute to the design and architecture of high-quality, complex systems and software/storage environments
  • Prepare, review and evaluate software/storage specifications for products and systems
  • Contribute to the development and implementation of test strategies for complex software products and systems/for storage products and systems

Role Overview

Dell Client Softwareโ€™s Analytics & Cloud Solutions team is looking for a data scientist with proven track record of delivering enterprise level data management and analytics solutions. In this role, you will be responsible for working closely with other technologists, architects, experience design engineers, product marketing and software engineers to define the architecture, explore technology alternatives and implement those solution with focus on efficiency and reliability.

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table.

Hereโ€™s what we are looking for with this role:

Role Responsibilities

  • Working with external partners and internal Dell technology, marketing and engineering teams to define and architect solutions related to data analytics to enable smarter decisions to deliver better products
  • Identifying and working with software and hardware partners to assess data driven solutions, actionable insights and roadmaps for inclusion in future solutions
  • Being the technical expert and resource for data management and analytics
  • Performs analysis and design for medium-sized to large or complex development and maintenance projects
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending companyโ€™s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • 8+ years of related experience in a professional role with Bachelorโ€™s degree or 6+ years with a Masterโ€™s degree or 3+ years with a PhD or equivalent experience.

Requirements

  • Extensive experience working with IaaS and PaaS systems ( Microsoft Azure, Amazon Web Services etc)
  • Experience building large scale data warehousing solutions, analysis, design, development, and performance tuning
  • Experience architecting highly scalable, distributed systems using different open source and commercial tools for multi-terabyte data warehouses
  • Solid understanding and experience with high-scale or distributed RDBMS and knowledge of NoSQL platforms
  • Experience normalizing complex datasets from a variety of sources
  • Hands on experience in configuring Hadoop cluster of major Hadoop distributions
  • Experience in working with ecosystems like Hive, Pig, Sqoop, Map Reduce
  • A clear understanding of cloud service and deployment models
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Shiny, MatLab, etc . Excellence in at least one of these is highly desirable
  • Great communication skills
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig etc.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Data-oriented personality

Hereโ€™s our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. Weโ€™re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Whatโ€™s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life – while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didnโ€™t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of whatโ€™s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.

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