Overview
BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500 clients. We are a growing company—born at the intersection of advanced analytics, data and technology. 

Blend360's Data Engineer will be a self-starting, motivated individual with knowledge of engineering best practices. This position is for our Global Center of Data Science Excellence in India.

If you are ready to embrace the challenge and would like to join our Data Science team as a Data Engineer, please keep reading!

Key Responsibilities
In this role, you’ll partner with our Fortune 500 clients and work within our Data Science team as a Data Engineer. You will clean, transform, and analyze vast amounts of raw data from various systems to provide ready-to-use data to our Data Scientists.

This involves both ad-hoc requests as well as data pipelines that are embedded in our production environment.
Additionally, you’ll:

• Gain experience using different big data and Cloud based Data technologies.
• Experience operating distributed systems of data extraction and processing of large data sets.
• Identify, analyze, and interpret trends or patterns in complex data sets. 
• Design data processing pipelines.
• Write good documentation with all code.
• Develop strong communication skills with a proven success communicating with users, other tech teams

• 2+ years of hand on experience of developing python-based solutions/applications.
• Strong experience in Python, preferably with a good lower level understanding of programming concepts.
• Strong experience of working with API’s and integrating multiple applications together.
• Experience with SQL and relational databases
• Solid architectural understanding of AWS NOSQL databases
• Good understanding of AWS security best practices
• Excellent understanding of OOP concepts with experience applying it in enterprise programming.
• Deep understanding of distributed systems (e.g. CAP theorem, partitioning, replication, consistency, and consensus)
• Good Git version control practices
• Proficient with Microsoft office suite (Excel, Word, PowerPoint)
• Experience of working with Data Warehousing Technologies like BigQuery, Redshift, or snowflake is a plus.
• Experience in using Business Intelligence tools such as: Tableau, Power BI for business applications is a plus.
• Self-starter and have strong interpersonal skills
• Strong analytical, problem solving, and troubleshooting abilities.
• Flexibility to adapt to a variety of engagement types, working hours and work environments and locations.