Company 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. We are looking for an outstanding Data Engineer with a strong background in ETL, Data warehousing and with interest in data mining and ability to derive key business trends. 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 team as one of our Data Engineers, please keep reading!

Key Responsibilities
We are looking for a Data Engineer who has hands-on experience on Database and Data warehouse technologies with hands on experience in Alteryx is preferable.

• Developing, implementing, modifying, and providing ongoing management of business systems, processes, databases, software and tools.
• Experience in writing SQL queries against any RDBMS with query optimization
• Ingestion of Epsilon and Altair Installs
• Ingestion and conversion of GS Epsilon Install
• Management of all sFTP and file transfer credentials
• Data Append request execution (Altair & Epsilon)
• Ingestion of Epsilon ZIP-level data, Zip radius look up process
• Manage and standardize all data practice requests/processes.
• Standard import scripts for loading data into Snowflake/R/Python
• Improve Alteryx data append process and match rates
• Development of derived variables (Model velocity, customer penetration)
• Design and develop ETL workflows and datasets in Alteryx to be used by the BI Reporting tool
• Prepare technical specifications and documentation for Alteryx workflows supporting BI reports.
• Identify, analyze, and interpret trends or patterns in complex data sets.​​​​​

• 2+ years of hand on experience of developing python-based solutions/applications.
• Strong experience of working with Object Oriented programming in Python.
• Strong experience of working with API’s and integrating multiple applications together.
• Experience in using Business Intelligence tools such as: Tableau, Power BI for business applications is a plus.
• Experience of working with Data Warehousing Technologies like BigQuery, Redshift, or snowflake is a plus.
• Strong analytical, problem solving, and troubleshooting abilities.
• Flexibility to adapt to a variety of engagement types, working hours and work environments and locations.