Offers “IBM”

Expires soon IBM

Data Engineer /Big Data Developer Internship

  • Vilnius (Vilniaus m. sav.)
  • Bachelor's Degree
  • IT development

Job description

IBM Client Innovation Center in Lithuania is hiring students with interest & experience in one or more areas relevant to such as making available, integrating, and optimizing structured and/or unstructured data using database products, technologies, and methods, creating applications on Big Data and Cognitive technologies, knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries.

Major Field of study: Prefer candidates from Computer Science, IT disciplines, Mathematics, Statistics, Engineering.

Auto req ID

145138BR
Required Education

Non-Degree Program
Role ( Job Role )

Student/Intern
State / Province

VILNIAUS APSKRITIS
Primary job category

Technical Specialist
Company

(0394) IBM Lietuva
Contract type

Internship
Employment Type

Full-Time
ERBP

Is this role a commissionable/sales incentive based position?

No
Travel Required

No Travel
IBM Business Group

GBS
Preferred Education

Bachelor's Degree
City / Township / Village

VILNIUS
EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise

·  At least 6-month experience in one or more areas relevant to the knowledge engineering life cycle such as
·  making available, integrating, and optimizing structured and/or unstructured data using database products, technologies, and methods;
·  information integration;
·  large-scale data management;
·  creating applications on Big Data and Cognitive technologies;
·  knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries.
·  English Fluent.
Country/Region

Lithuania
Preferred Technical and Professional Experience

·  Data Warehousing.
·  Business Intelligence.
·  Data Migration.
·  Data Modelling.
·  Data Analytics.
·  Classic Databases.
·  Programming – SQL, Spark, Scala, Python, Java.
·  Hadoop.
·  Impala or Hive.
Eligibility Requirements

N/A
Position Type

Intern
Early Professional Track

Track unaligned
New Collar Role

Yes

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