Sports Odds Data Extraction & Normalization
Budget: $30 – $250 AUD
I need a skilled data engineer to extract sports odds from Odds Blaze and Odds-API services and normalize them.
Key Responsibilities:
- Data Extraction: Pull odds data from the mentioned services covering all sports.
- Normalization: Align event names, odds values, market types, and bookmaker IDs or names to a standard format.
- Data Mapping: Normalize event names like game_id, bookmaker, home team, away team, market, price, point.
I want the final dataset to be clean, consistent, and ready for analysis, covering all event names, odds values, and market types.
Ideal Skills and Experience:
- Proficiency in data extraction techniques and tools.
- Experience with Odds Blaze and Odds-API services is a plus.
- Strong data normalization skills.
- Ability to work with a variety of event names, odds values, and market types.
- Excellent attention to detail.
Key Responsibilities:
- Data Extraction: Pull odds data from the mentioned services covering all sports.
- Normalization: Align event names, odds values, market types, and bookmaker IDs or names to a standard format.
- Data Mapping: Normalize event names like game_id, bookmaker, home team, away team, market, price, point.
I want the final dataset to be clean, consistent, and ready for analysis, covering all event names, odds values, and market types.
Ideal Skills and Experience:
- Proficiency in data extraction techniques and tools.
- Experience with Odds Blaze and Odds-API services is a plus.
- Strong data normalization skills.
- Ability to work with a variety of event names, odds values, and market types.
- Excellent attention to detail.