The data solutions engineer will build data pipeline for various data feeds (API, Json, CSV). S/He will also assist data scientist in building models using ML technology. S/He will support all database and analytics needs supporting various lines of business (e.g. Digital Media, fantasy, Video Gaming, TV Ratings), including social media analytics and other fan behaviors. S/He will also be responsible for building ETL Layer to collect, manage, store and analyze all data related.
Required Education and Experience:
* 6 years of database / building database solutions using modern technologies like Cloud Databases, Datawarehousing concepts. * Deep knowledge of Football and Sports betting systems. * Strong knowledge of SQL Server BI Stack is required. * Strong Database Concepts in Data Warehousing and Dimensional Modelling. * Worked with ingestion of structured and un-structured data (IOT data). * Knowledge of Glue / Lambda / Athena is a must. * Strong Analytic and statistics background is a plus. * Strong python developer for building data factory pipelines. * Development skills using .Net and Jscript to build Rest API * Knowledge of packages like panda / numpy is required. * Scripting languages like shell and unix is a plus * Data Visualization tools like Qlik / Tableau / PowerBI is a plus.
Preferred Education and Experience:
* BS Computer Science.
Other Key Attributes / Characteristics:
* Strong Team Player * Self-motivated and able to run projects with minimum guidance. * Works well with others business stakeholder, strong interpersonal and presentation skills, able to multi-task / time management
15-25 percent travel
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