Develop prototypes and proof of concepts using multiple data sources, AI/ML methods, and big-data technologies.
Implement and deploy large, structured, and unstructured databases based on scalable cloud infrastructures.
Port data across data sources/DB systems to improve performance, scalability, or facilitate analytics.
Develop technical solutions that combine disparate information to create meaningful insights for business, using Big-data architectures.
Stay curious and enthusiastic about using related technologies to solve problems and inspire others.

Bachelor’s or Master’s in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable.
At least 0 – 2 years hands-on experience in the area of DB; with working experience on Data Engineering, Data Analytics in at least 2 projects.
Knowledge/Experience in conventional DB technologies (RDBMS, Object Oriented).
Strong knowledge/experience in using query languages such as SQL.
Well-versed in relational database design and experience with processing and managing large data sets.
Expertise/Knowledge of Data Warehousing solutions.
Good knowledge in Data Warehousing concepts.
Basic knowledge on Extract Transform & Load concept.
Knowledge of any reporting/BI tool.
Basic Knowledge of Azure cloud-based Data Storage and Services is preferred.

Technical Intern