IBM Paid Internship for Data Engineer | 0 - 0 yrs | Apply Now

IBM Paid Internship for Data Engineer | 0 – 0 yrs | Apply Now

IBM -International Business Machines Corporation is an American multinational technology company headquartered in Armonk, New York, with operations in over 170 countries

We are looking for Data Engineer interns who to learn ETL and who will work directly with Data Architects to convert the big data vision into a reality.  collection, parsing, preparation, transformation, and integration of data from a primary source into a cloud solution.

IBM Internship-Data Engineer

Job Description:
Recognize, diagnose and present potential solutions for problems as they arise
Work independently to solve issues, and distribute solutions to the internal teams
Think critically to ensure that optimal solutions are in place
build large-scale data processing systems
Translate functional requirements into technical specifications
develop, maintain, test and evaluate solutions with a larger team, and provide necessary feedback and recommendations as needed.
leverage data management processes, available infrastructures, and API tools to develop code and solutions that will directly impact the success of our client.
The internship is on a 3-month contract, full time, starting at the beginning of May. There is high possibility of continuity in IBM after these 3 months of internship.

Required Technical and Professional Expertise
student in final year or fresh graduate or Computer Science or any other related universities (Polytehnica, Mathematics and Informatics, Cybernetics etc)
basic Data Warehouse concepts
Extract, Transform, Load (ETL) concepts
mandatory skills: SQL knowledge
OS knowledge (Windows / Linux / Unix)
strong communication skills, both written and verbal
English: fluent
organized, solutions oriented

Preferred Technical and Professional Expertise
projecs in Data Processing Tools such as DataStage, Informatica, Ab Initio, Microsoft Azure Data Factory (preferred)
Programming language (any): Python, Scala or Java with Spark (preferred)
English: advanced

Apply Now