Position: Big Data (Python)
Company: Fluvius
Experience required: 5y
English level: upper

**Required Skills:**

• Strong Experience in data engineering, dimensional data modeling, ETL development, and Data Warehousing.
• Hands on experience building and supporting Enterprise level Data warehouses by sourcing data from scraping or API’s.
• Strong experience with data modelling, SQL, writing, debugging and performance tuning.
• Experience with Snowflake, Big Data tools, Python, Apache airflow.
• Experience building data management tools on AWS.
• Knowledge of Machine Learning foundational, ML models & AI data platform
• Proficient in Python and/or Java, SQL
• Have strong data modeling skills and data architecture knowledge
• English - Intermediate+ level.

**Responsibilities:**

• As a Data/AI Engineer, you should be an expert with data warehousing components (e.g. Data Modeling, ETL and Reporting) and integrations.
• You should have a deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Cloud).
• You should be an expert in the design, creation, management of large datasets, excellent business and interpersonal skills.

**Project description:**
Import real estate data from two cities.  The data can either be scrapped or imported via api from property databases.  The data then needs to be imported/formatted into a structure to be imported into a DB/Cloud.  After the data is imported you will need to then create a predictive/ML/AI model to see what properties will sell the fastest.

**What we offer:**

• Healthy workplace environment
• Strong and friendly development team
• Competitive reward
• Compensation for education
• Flexible schedule
• 15 paid vacation days, 7 paid days-off