Position: Data Engineer
Company: SKILLERS (ex Venbest Recruiting)
Experience required: 2y
Category: Data Science
English level: upper
Published: 2021-07-01T00:00:00+03:00

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.