Our client - a young company, which combines Big Data and Artificial Intelligence to create a smart “Digital Assistant” capable of dramatically enhancing Revenue Growth Management initiatives - is now looking for a Data Engineer to join their team remotely.

THE ROLE: 

By joining the team, you will be part of a visionary team of Trend-challengers, reimagining the way Revenue Growth 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, an 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.

WHAT YOU SHOULD HAVE: 

• 2+ years of 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;
• Hands-on experience with SQL database design;
• Great math and analytical skills.

COMPANY OFFERS:

• Great team culture;
• Opportunities for professional growth and career;
• Flexible working schedule, 40 hours per week;
• Remote work;
• Paid courses, trainings, conferences;
• 21-days paid vacation, paid sick leave.