Senior/Lead Data Engineer

Responsibilities

• Create and evolve pricing data models to support self-service analytics needs

• Build scalable and robust data pipelines for the pricing data

• Maintain the sustainable work of production solutions

• Work with various teams, inside and outside the domain, to create solutions that deal with large volumes of data and solve engineering problems

• Track and monitor the data quality of the data models

• 5+ years experience working in a Data Engineer role; e-commerce experience is a plus

• +2 years in leading data engineering teams would be preferable

• Experience working in a Data Warehouse environment creating and evolving dimensional data models to support analytics requirements

• Relevant experience with pricing data models would be preferred

• BA in Economics, Engineering, Mathematics, Computer Science, or another quantitative field

• Master’s degree or equivalent experience in Economics, Mathematics, or Computer Science preferred

Hard skills

• Experience building and maintaining data pipelines using ETL tools like SSIS, Talend or Airflow (would be preferred)

• Expert in SQL

• Strong programming skills in Python

• Experience working with cloud environments

• Familiarity with distributed column-store database management systems such as ClickHouse.

• Experience with big data technologies such as Hadoop, Spark, or Hive

• Experience working with a BI reporting tool like Tableau, Looker or Power BI 

• Experience with CI/CD principles (version control, unit and automated tests)

• B2+ English

Soft skills

• Good analytical and problem solving skills

• Good understanding of the business processes of the e-commerce company

• Ability to find points of growth / possible areas of optimization in the company's work and formulate action plans for implementing changes

• Commitment to continuous development, expansion of the range of professional skills, and automation of routine operations.