13 days old

Internship: Data Engineer Intern

  • Job Code
Job Description

About IBM:
IBM is a global technology and innovation company. It is the largest technology and consulting employer in the world, with presence in 170 countries. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software rarely distinguishes IBM from other companies in the industry.

Over the past 100 years, a lot has changed at IBM, in this new era of Cognitive Business, IBM is helping to craft industries as diverse as healthcare, retail, banking, travel, manufacturing, and many more, by building together our expertise in Cloud, Analytics, Security, Mobile, and the Internet of Things. We like to say, be essential. We are changing how we craft. How we collaborate. How we analyze. How we engage.

Join the next generation of innovators, inventors and entrepreneurs who are crafting the very way the world works. We want the brightest minds doing work that inspires, in an environment where growth is encouraged. IBMers get to discover their potential, so theyre supported to build breakthroughs that help our clients succeed. Were building diverse teams with people who want their ideas to matter. Join us youll be proud to call yourself an IBMer.

About the internship:

You will be involved in data science and cognitive projects, with a focus to deliver impact for improving IBM business operations.

You will focus on converting business problems into cognitive solutions that integrate chatbot, statistical models, Artificial Intelligence and cloud technologies.

You will be working alongside a data science team in an agile, fast-moving and collaborative environment involving data scientists, web developers/engineers, database managers, and operation experts of different expertise and backgrounds.


Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization

Streamline data access and security to enable data scientists and analysts to easily access to data whenever they need to

Partner with internal stakeholders to understand business requirements, work with cross-functional data to build efficient and scalable ETL pipelines and processes to ingest data from a large number and variety of data sources

Build data expertise and own data quality for allocated areas of ownership

Design, build, optimize, launch and support new and existing data models and ETL processes in production


Currently enrolled in a reputable university (BS/B.Tech./M.Tech in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines)

Experience in the data warehouse space, custom ETL design, implementation and maintenance

Experience in SQL or similar languages and development experience in at least one scripting language (Python preferred). Experience in NoSQL database (MongoDB, CouchDB, Cloudant) will be a plus.

Strong data architecture, data modeling, schema design and effective project management skills

Ability to initiate and drive projects, and communicate data warehouse plans to internal clients/stakeholders

Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution

Internship Period: Minimum 3 months (preferably 6 months)

Required Technical and Professional Expertise

Please refer to the job description.

Preferred Tech and Prof Experience

Please refer to the job description.

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.



  • Computers Software and Hardware
Posted: 2019-05-08 Expires: 2019-06-07

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