Real Estate Time Series Data Engineer
Budget: $30 – $250 USD
I'm in need of a data engineer with excellent time series analysis skills, specifically within PostgreSQL. The primary objective is to identify outliers within our real estate transaction data, which is being collected on a daily basis.
- **Data Engineering:** You should have a strong background in data engineering, particularly within PostgreSQL.
- **Time Series Analysis:** Experience in time series analysis is a must, especially in the context of real estate transactions.
- **Anomaly Detection:** The ability to identify outliers and potentially wrongly entered data within this time series data is crucial.
- **Data Science Skills:** A solid data science background will be really beneficial in uncovering patterns within the data.
- **Communication:** Strong communication skills are also key to this role. You need to be able to clearly explain your findings and provide insights for our team.
The ultimate goal of this project is to identify any wrongly entered data amongst the real estate transactions, which could be skewing our data. I'm really looking for someone who can take initiative, be self-driven and provide valuable insights to our business.
Other tasks related to the dataset will be required in the future
- **Data Engineering:** You should have a strong background in data engineering, particularly within PostgreSQL.
- **Time Series Analysis:** Experience in time series analysis is a must, especially in the context of real estate transactions.
- **Anomaly Detection:** The ability to identify outliers and potentially wrongly entered data within this time series data is crucial.
- **Data Science Skills:** A solid data science background will be really beneficial in uncovering patterns within the data.
- **Communication:** Strong communication skills are also key to this role. You need to be able to clearly explain your findings and provide insights for our team.
The ultimate goal of this project is to identify any wrongly entered data amongst the real estate transactions, which could be skewing our data. I'm really looking for someone who can take initiative, be self-driven and provide valuable insights to our business.
Other tasks related to the dataset will be required in the future