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Big Data Infrastructure Lead

at Daimler AG

Posted: 9/1/2019
Job Reference #: MER0000NMY
Categories: Other/General
Keywords:

Job Description

About Us

Mercedes-Benz USA, headquartered in Atlanta, GA isresponsible for the sales, marketing and service of all Mercedes-Benz andMaybach products in the United States. In our people, you will find tremendous commitment to our corporatevalues: 'PRIDE = Passion, Respect, Integrity, Discipline, and Excellence'.  Our products and employees reflect thisdedication.  We are looking for diversetop-notch individuals to join the Mercedes-Benz Team and uphold thesehallmarks.


Job Overview

MBUSA isimplementing a new Big Data team, which will operate in a DevOps model. Theteam consists of several different roles including a Big DataInfrastructure Lead. The team will collaborate with businessstakeholders and will be responsible for the overall product, enhancing sprintby sprint.


The team isthe key contact to our business for:

Ø Collectingand implementing business requirements and defining solutions for the future

Ø leadingdiscussions with stakeholders to identify priorities, user stories, definebacklog, usability, sprint planning

Ø aligningstrategies with applications' team & business to ensure that the set up& structure supports business priorities

 

Responsibilities

Within theDevOps team, you are the lead of the big data infrastructure platform for marketing and sales inMercedes-Benz USA. As such, you are theowner of the overall solution and will be responsible for:

Ø designinga new holistic big data infrastructure architecture to transform the big dataenvironment into a highly valued business asset

Ø understandingthe global industry and competitive landscape, analyzing and supporting thedynamic data science and analytics needs of the future

Ø leveragingappropriate data platforms and technologies

Ø developing,implementing and driving a realistic strategy in alignment with the business tosimplify data integration, increase usability and plot overall solutionblueprints

Ø transformingfrom on-premise to Microsoft Azure based solution

Ø cooperatingclosely and sharing best practices across regions, divisions and functions, youare the subject matter expert & point of contact for peers from otherregions/entities as well as the interface to central services team, alation,Azure

Ø developingoverall solution blueprint architecture by leveraging global skills &architecture blueprints:

o   how to ingest data in an efficient andtimely manner from our applications databases to our data lake and the datawarehouse

o   how to manage and track KPIs for overallsolution

o   define state of the art security modeland maintain proper documentation

o   how to define and handle the future datawarehouse in the cloud

o   architect infrastructure landscape inthe scientific, predictive analysis use-cases with R and Python

o   evaluate current reporting landscapethat consists of Tableau and Cognos - assess, define and architectinfrastructure for reporting and dash boarding needs in a DevOps model with ourbusiness and applications' team 

Ø designing,owning and collaborating with big data operations lead on the security model

Ø focusingthe team's efforts on customer benefits - anticipating and addressing needs ofcustomers and business partners, managing requirements and resources to enablethe team's success

Ø seeingthe "big picture" and thus understanding relevant interrelationships– provide purpose and background to the team

Ø drivinginnovation, creativity and "out-of-the-box" thinking in the team andpromoting an environment of "lessons learned" and continuousperformance improvement

Ø settinghigh standards and achievable goals for each sprint



Qualifications

Education

 

Bachelor'sDegree (accredited school) or equivalent work experience with emphasis in:

·       Computer/InformationScience

·       InformationTechnology

 

Must have extensive knowledge of/experience in:

 

Ø  Dashboard and reporting software – e.g.Tableau, Cognos or PowerBI

Ø  Cloud: MS Azure (platform)

Ø  Database and data warehouse technologies

Ø  Data catalog and modeling software likeErwin, Alation

Ø  DevOps and Scrum working models

Ø  Working with and managingcross-functional teams

Ø  Architecture, design, implementation ofBig Data solutions

Ø  Hands-on experience with major Big Datatechnologies and frameworks including Hadoop, MapReduce, Pig, Hive, HBase,Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra

Ø  Experience with Big Data solutionsdeployed in large cloud computing infrastructures, main focus on Azure

Ø  Strong knowledge of programming andscripting languages such as Java, Linus, PHP, Ruby, Phyton

Ø  Big Data query tools such as Pig, Hiveand Impala

Ø  Project Management Skills:

o  Abilityto develop plans/projects from conceptualization to implementation

o  Abilityto organize workflow and direct tasks as well as document milestones and ROI'sand resolve problems

Ø  Proven experience with the following:

o  Servers,storage, networking, and data archival/backup solutions

o  Industryknowledge and experience in areas such as Software Defined Networking (SDN), ITinfrastructure and systems security, and cloud or network systems management

Additional Information
No Sponsorship / Visa Transfer Available

No Relocation Available

Must be able to work flexible hours/work schedule

Travel domestically and internationally

Work Holidays when required

Work weekends when required

 

EEO Statement
Mercedes-Benz USA is committed to fostering an inclusive environment thatappreciates 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, veteranstatus, physical or other disability, sexual orientation, gender identity orexpression, or any other characteristic protected by federal, state or locallaw.