• Big Data and Data Analytics Engineer Jobs in United States Of America - 25123183

  • Motorola Mobility, Inc.
  • United States Of America, Usa

Job Description:

Position Description
Lenovo Data Center Group is currently seeking a senior big data and data analytics engineer for our Lenovo private cloud platform ThinkAgile CP (https//wwwlenovocom/us/en/data-center/software-defined-infrastructure /ThinkAgile-CP-Series/p/WMD00000362)

This role will participate in driving architecture, design and implementation of worldwide private cloud platform This individual will be responsible for architecture, detailed design and implementation of all aspects of the data analytics and operational intelligence of the platform including data streaming and big data functions as well as statistical, data analytics and AI functions of the platform

This is a software development position in a highly collaborative environment working directly with Development, QA, Operations and Product Management teams across geographies

Position Requirements
BS/MS in Computer Engineering, Electrical Engineering (with programming skills/experience) or Computer Science (with hardware skills/experience) or equivalent practical experience
Experience developing and shipping commercial SW product or developing and supporting commercial SaaS platform
Experience architecting, implementing, deploying, optimizing and operating distributed frameworks Apache Spark, Kafka, Hadoop
Hands-on skills and knowledge of data science tools such as taxonomy, data modeling, graph theory, geometry, greedy algorithms, recursion, statistical models, mathematical models, neural nets, dynamic programming, ML/ AI, simulations, search/ sort, simple data ETL (extract/ transform/ load), etc
Hands on experience at least in one ML programming language R, Python, Scala, Java
Experience with Analytics Libraries Numpy/Scipy, Scikit Learn, PyMC, Pandas, Jupyter, MLlib, Theano, PyTorch, GraphX
Hands-on skills in commercial or open source based ML products or toolkits (eg Hadoop, Spark, Metron, Kafka, Tensorflow, Scikit, Caffe etc)
In-depth knowledge in analyzing and visualizing data, pros/ cons of various ML models including Statistical models clustering, regression, Gradient boost, random forest, etc; Neural nets RNN, CNN, Autoencoders, etc; Learning modes supervised, unsupervised, reinforcement, etc
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical, etc)
Hands-on experience deploying analytical models to solve business problems, eg matching ML models with use cases based on pros and cons
Ability to develop experimental and analytical plans for data modeling processes
Experience with data visualization tools
Ability to understand, articulate and document business and technical requirements
Excellent communications skills able to work with teams across cultures fostering trust and collaboration
Comfortable presenting to large groups and executives
Must be able to attend frequent meetings outside of standard working hours, to accommodate teams in other time zones
Excellent English speaking and writing skills
Investigation and debugging skills

Nice to Have
Experience architecting, implementing, deploying, optimizing and operating relational databases
- PostgreSQL or AWS Aurora are highly desirable
- Oracle, IBM DB2, MS SQL Server, MySQL are nice to have
Experience architecting, implementing, deploying, optimizing and operating NoSQL databases
- Cassandra or ScyllaDB are highly desirable
- Redis, Neo4j, MongoDB, Elasticsearch are nice to have
Experience with performance and scalability optimizations, implementing ETL logic, backup, restore and other database related operations processes
Proficient knowledge of optimization, concurrency, scale-up vs scale-out, encryption, application- and process-level security, etc in an Apache/Hadoop environment is a plus
Experience working with and creating data architectures
Experience with cloud containerization environments Docker, Kubernetes
Linux administration and/or development experience
Previous experience deploying cloud services
CI/CD experience including use of Git, Gerrit and Jenkins or other similar CI/CD tools and platforms
OpenStack, VMWare vCloud or SDDS, AWS, Azure experience highly desired
Understanding of Database Security

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking, Telecom
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 17th May 2020

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