Job Description
Do you want to explore how the world of data has evolved and how the advent of cloud technologies is providing new opportunities for business to explore? For this role you will design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs. Primary responsibilities include using services and tools to ingest, egress, and transform data from multiple sources. Azure data engineers collaborate with business stakeholders to identify and meet data requirements. They design and implement solutions.
You Are Someone Who
- Continuously seeks to improve your knowledge of data analytics technologies and best practices
- Strives to understand business drivers and strategy in order to understand business requirements
- Takes a collaborative approach to assignments and works well with others
- Is a good communicator with strong written and oral communication skills
- Clearly documents your work so that it can be readily understood by others
- Takes ownership and accountability for your assignments and responsibilities
- Takes pride in delivering detail-oriented, thoughtful, thorough, and quality results
BASIC QUALIFICATIONS:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- Good software engineering principals
- 2+ years of industry experience in Software Development, Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
- Experience with Big Data, artificial intelligence, natural language processing, machine learning and/or deep learning.
- Hands-on experience and advanced knowledge of SQL.
- Knowledge of Data Management fundamentals and Data Storage principles.
- Experience coding and automating processes using Python or R.
- Excellent communication skills and the ability to work well in a team.
- Effective analytical, troubleshooting, and problem-solving skills.
- Knowledge of Azure services like HD Insight, Azure DataBricks etc.
- Working knowledge of the pros, cons and usages of various ML/DL applications (such as Keras, Tensorflow, Python scikit learn and R)
- Contribution to industry/open source communities.
- Knowledge and practical experience of cloud-based platforms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous
- Understanding of infrastructure (including hosting, container-based deployments and storage architectures) would be advantageous
An awesome work environment for creative professionals.
Note: This is an UNPAID internship position , please attach your resume and cover leter
Industry
- Information Technology & Services
Employment type
- Unpaid, 3 month internship, fall term