As a Data Engineer, you are required to:
Develop prototypes and proof of concepts using multiple data-sources, AI/ML methods and big-data technologies
Implement / Deploy large, structured and unstructured databases based on scalable cloud infrastructures
Port data across data-sources /DB systems to improve performance, scalability or to facilitate analytics.
Develop technical solutions which combine disparate information to create meaningful insights for business, using Big-data architectures (supportive role along with Data Architect)
Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the perk in business domain

Qualification: Bachelor's or masters in computer science & engineering, or equivalent. Qualified Degree in Data Science, Engineering is desirable. Experience level: At least 4 - 5 years hands-on experience in Data Warehousing, ETL and RDBMS. Experience on Data Analytics and should be inclined towards cloud technologies like Azure/AWS.

📌 Snowflake Developer Bengaluru (India)
🏢 RandomTrees
📍 India