Cloud Data Engineer job in Chicago, IL| Recruit Arrow
Recruit Arrow
Email Password
Forgot your password?
Welcome, Guest! New User?
Tell a Friend
Success Stories
From my very first contact with Recruit Arrow, through the application process, interviews, and my acceptance of the position, this service was an invaluable asset. My recruiter gave me insight into the company by sharing her own experiences and views.


Job Search

What


 job title, keywords

Where


 city, state, zip






JOB CENTER

Your Window to a World of Opportunities


Welcome to Recruit Arrow's Job Center. We offer you the ability to stay current in numerous specialized job markets, including marketing, advertising, and engineering just to name a few, by subscribing to our Newsletter and Real-Time Job Updates; to subscribe click here.

If you do not yet have an account with Recruit Arrow, we encourage you to sign up for a new account by submitting your resume. An account will allow you to make our search consultants aware of the jobs that you are interested in, view new jobs that match your search settings, modify your search settings, submit a new resume, and take advantage of other useful features.

We are pleased that your assessment of options has led you to Recruit Arrow, and we invite you to browse our website to learn more about our firm and the career opportunities we offer. If you would like to be considered for an professional position, feel free to submit your resume.


Select from the options below to begin your search.


Locations:
(hold down ctrl to choose multiple locations)
City Name:

Primary Field:

Minimum Years of Experience:

Keyword:

1 matches | 1 - 1 displayed 
 1 

Title
Cloud Data Engineer
Location : Illinois, Chicago
Refer job # UTRE337808
 
Job Responsibilities and Requirements: As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the Google Engineer working with Google's most strategic Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The Google Cloud Platform team helps customers transform and evolve their business through the use of Google s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Responsibilities Act as a trusted technical advisor to customers and solve complex Big Data challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Travel up to 30% of the time. Communicate effectively via video conferencing for meetings, technical reviews and onsite delivery activities. Qualifications Minimum qualifications: BA/BS degree in Computer Science, Mathematics or related technical field, or equivalent practical experience. Experience with data processing software (such as Hadoop, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume). Experience working with technical customers. Experience in writing software in one or more languages such as Java, C , Python, Go and/or JavaScript. Preferred qualifications: Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience in technical consulting. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform. Experience working with big data, information retrieval, data mining or machine learning as well as experience in building multi-tier high availability applications with modern web technologies (such as NoSQL, MongoDB, SparkML, Tensorflow).
 
Contact the Following Recruit Arrow Office:
Los Angeles
202 S Lake Ave, Unit 250
Pasadena, California 91101
Email: jobs@recruitarrow.com
 
[Apply Now] [Email to a Colleague] [Permalink]

Tweet This



1 matches | 1 - 1 displayed 
 1 
Newsletter and Job Updates