Big Data Architect
Mercedes-Benz
Daimler,Warszawa, Polonia
13 d. temu

About Us

Mercedes-Benz USA, headquartered in Atlanta, GA is one of Fortune's 100 Best Companies to Work For. Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-

Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values : 'PRIDE Passion, Respect, Integrity, Discipline, and Excellence’.

Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-

Benz Team and uphold these hallmarks.

Job Overview

The newly created position for the Big Data Architect is responsible for refining and creating the next step in technology for our organization.

You act as contact person and agile enabler for all questions regarding new IT infrastructure and services in context of Big Data solutions.

Responsibilities

  • Leverage sophisticated big data technologies into current and future business applications
  • Lead infrastructure projects for the implementation of new Big Data solutions
  • Design and implement modern, scalable data center architectures (on premise, hybrid or cloud) that meet the requirements of our business partners
  • Ensure the architecture is optimized for large dataset acquisition, analysis, storage, cleansing, transformation and reclamation
  • Create the requirements analysis, the platform selection and the design of the technical architecture
  • Develop IT infrastructure roadmaps and implement strategies around data science initiatives
  • Lead the research and evaluation of emerging technologies, industry and market trends to assist in project development and operational support actives
  • Work closely together with the application teams to exceed our business partners’ expectations
  • Education

    Bachelor’s Degree (accredited school) with emphasis in :

    Computer / Information Science

    Engineering

    Management Information System (MIS)

    Must have 5 7 years of experience in the following :

  • Architecture, design, implementation, operation and maintenance of big data solutions
  • Hands-on experience with major big data technologies and frameworks including Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra.
  • Experience with big data solutions deployed in large cloud computing infrastructures such as AWS, GCE and Azure
  • Strong knowledge of programming and scripting languages such as Java, Linus, PHP, Ruby, Phyton
  • Big Data query tools such as Pig, Hive and Impala
  • Project Management Skills :
  • Ability to develop plans / projects from conceptualization to implementation
  • Ability to organize workflow and direct tasks as well as document milestones and ROI’s and resolve problems
  • Proven experience with the following :

  • Open source software such as Hadoop and Red Hat
  • Shell scripting
  • Servers, storage, networking, and data archival / backup solutions
  • Industry knowledge and experience in areas such as Software Defined Networking (SDN), IT infrastructure and systems security, and cloud or network systems management
  • Additional Skills

    Focus on problem resolution and troubleshooting

    Knowledge on hardware capabilities and software interfaces and applications

    Ability to produce quality digital assets / products

    No Relocation Available

    Must be able to work flexible hours / work schedule

    Work weekends when required

    Work holidays when required

    Travel domestically and internationally

    EEO Statement

    Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team.

    We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

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