Selected candidate day-to-day responsibilities include:

1. Create and maintain optimal data pipeline architecture
2. Assemble large, complex data sets that meet functional/non-functional business requirements
3. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies
4. Combine raw information from different sources
5. Explore ways to enhance data quality and reliability
6. Collaborate with data scientists and architects on several projects

Skill(s) required

Python

SQL

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. have relevant skills and interests

Perks

Certificate

Letter of recommendation

Number of openings

Certificate: Will be provided at the end of the Internship