Job Description

About Go Digital Technology Consulting

Go Digital Technology Consulting is a respected professional service firm offering business intelligence and big data analytics consulting solutions. Our goal, first and foremost, is to help our clients be successful by taking the vast amounts of data they collect and transforming that data into information and insight. We're especially proud of our people, who are leading experts and published authors in the data analytics field. Our leading consultants have, on average, been in the business intelligence (BI) industry for more than 10 years.

Our principles have helped spearhead the movement from traditional data gathering and dissemination to big data. We believe that more than most, we can help you consolidate and organize the massive amounts of structured and unstructured data at your disposal into a meaningful understanding of where your enterprise is, what it needs to prosper, and how it can get there.

Activity on Internshala

Hiring since July 2020

50 opportunities posted

About the internship

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

Learn these skills on Internshala Trainings

Who can apply

Only those candidates can apply who:

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

2. can start the internship between 31st Oct'22 and 5th Dec'22

3. are available for duration of 3 months

4. have relevant skills and interests

• Women wanting to start/restart their career can also apply.

Perks

Certificate Letter of recommendation Informal dress code 5 days a week Job offer

Number of openings

5