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Google Cloud Platform (GCP) Data Engineer

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Date: Jul 3, 2019

Location: Santa Clara, CA, US

Company: NTT DATA Services

Req ID: 49237 

 

At NTT DATA Services, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA Services and for the people who work here.

 

NTT DATA Services currently seeks a Google Cloud Platform (GCP) Data Engineer to join our team in Santa Clara, California (US-CA), United States (US).

 

 

Day to Day duties:

Integral team member of our AI and Analytics team responsible for design and development of Big data solutions
Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop or Google Cloud Platform
Responsible for delivering data as a service framework from Google Cloud Platform
Responsible for moving all legacy workloads to cloud platform
Work with data scientist to build ML pipelines using heterogeneous sources and provide engineering services for data science applications
Ensure automation through CI/CD across platforms both in cloud and on-premises
Ability to research and assess open source technologies and components to recommend and integrate into the design and implementation
Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks

 

Basic Qualifications:

Min 2 years of experience with Hadoop or Cloud Technologies
Expert level building pipelines using Apache Beam or Spark
Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms
Min 1 year of experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)
Min 1 year of experience with containerization and related technologies (e.g. Docker, Kubernetes)
Min 1 year of experience in other open-sources like Druid, Elastic Search, Logstash etc is a plus
Advanced knowledge of the Hadoop ecosystem and Big Data technologies
Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Impala, Spark, Kafka, Kudu, Solr)

 

Education:

Degree in Bachelor of Science in Computer Science or equivalent.

 

Nice to Haves:

Knowledge of Agile (scrum) development methodology is a plus
Strong development/automation skills
Competent reading and writing Scala, Python or Java code.
System level understanding - Data structures, algorithms, distributed storage & compute
Can-do attitude on solving complex business problems, good interpersonal and teamwork skills
 

 

This position is only available to those interested in direct staff employment opportunities with NTT DATA, Inc. or its subsidiaries.  Please note, 1099 or corp-2-corp contractors or the equivalent will NOT be considered. We offer a full comprehensive benefits package that starts from your first day of employment.                                                                                

                     

About NTT DATA Services

 

NTT DATA Services partners with clients to navigate and simplify the modern complexities of business and technology, delivering the insights, solutions and outcomes that matter most. We deliver tangible business results by combining deep industry expertise with applied innovations in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services.

 

NTT DATA Services, headquartered in Plano, Texas, is a division of NTT DATA Corporation, a top 10 global business and IT services provider with 118,000+ professionals in more than 50 countries, and NTT Group, a partner to 88 percent of the Fortune 100. Visit nttdataservices.com to learn more.

 

NTT DATA, Inc. (the “Company”) is an equal opportunity employer and makes employment decisions on the basis of merit and business needs.  The Company will consider all qualified applicants for employment without regard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law.  To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result.

 

 

 


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