Data Engineering Work From Home Internship

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Data Engineering
Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
₹ 8,000-15,000 /month
APPLY BY
2 Feb' 22
Posted 3 weeks ago
Internship
242 applicants

About the work from home job/internship

Selected intern's day-to-day responsibilities include:

1. Working on data engineering projects
2. Working on data pipelines, data tools, automation, and databases
3. Working on Azure ML and other ML tools
4. Working on data warehouse, data platforms, data lake, and data integrations
5. Working on Python programming and analytics using Python
6. Working on Python API for the data analytics and ML
7. Working on BI tools such as Google Data Studio, Kibana, PowerBI, and others
8. Working on NoSQL databases such as MongoDB
9. Working on databases such as Neo4j, PostgreSQL, Graph, and more
10. Working with clients to lead projects

Skill(s) required

Artificial intelligence Data Analytics Data Science Elasticsearch Machine Learning Power BI Python SQL

Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 22nd Jan'22 and 26th Feb'22

3. are available for duration of 6 months

4. have relevant skills and interests

Perks

Certificate Letter of recommendation Flexible work hours

Number of openings

10

About Blackcoffer

Blackcoffer is an enterprise software and analytics consulting firm based in India and the European Union (Malta). It is a data-driven, technology, and decision science firm focused exclusively on big data and analytics, data-driven dashboards, applications development, information management, and consulting of any kind, from any source, on a massive scale.

We are a young and global consulting shop helping enterprises and entrepreneurs solve big data and analytics, data-driven dashboards, applications development, and information management problems to minimize risk, explore opportunities for future growth, and increase profits more effectively. We provide intelligence, accelerate innovation, and implement technology with extraordinary breadth and depth of global insights into big data, data-driven dashboards, application development, and information management for organizations by combining unique and specialist services and high-level human expertise.
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