We're hiring globally. Enjoy remote work with Revenue AI.

Data Engineer

By joining us, you will be part of a visionary team of Trend-challengers, reimagining the way Revenue Management is being utilized in global organizations. Also, 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

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

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

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