Position: Data Engineer with Azure, Pyspark and DataBricks knowledge
Company: DevRain
Experience required: 3y
English level: upper

You will be at the forefront of learning and applying the hottest technologies:
 
- Global organization strategy 
- Revenue management 
- Artificial intelligence 
- Intelligent assistants 
- Big Data, data & analytics, and predictive analytics 

Requirements:

- Previous experience as a data engineer or in a similar role
- Technical expertise with data models, data mining, and segmentation techniques
- Knowledge of programming languages (e.g. Java and Python) 
- Pyspark and DataBricks knowledge and experience is a must
- Hands-on experience with SQL database design
- Great numerical and analytical skills

Responsibilities:

- Understanding business challenges around the Revenue management space
- Identification, organization, and ingestion of data, spread across multiple sources (operational, analytical, and reporting)
- Analyze and organize raw data 
- Build data systems and pipelines in collaboration with stakeholders and team members to analyze user needs and develop data integration solutions.
- Evaluate business needs and objectives and adhere to data architecture strategy, best practices, standards, and roadmaps
 - Conduct data assessment, perform data quality checks, transform and load raw data using SQL and ETL tools.  Your work will contribute to the overall implementation of product solutions
- Interpret trends and patterns
- Conduct complex data analysis and report on results 
- Prepare data for prescriptive and predictive modeling
- Build algorithms and prototypes
- Technical capability to develop and implement data identification, ingestion and integration solution Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical tools and programs
- Collaborate with data scientists and architects on several projects